Applying the Battery Ownership Model in Pursuit of Optimal Battery...
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Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies 2012 DOE...
Fast Global Optimization Applied to Residual Statics.
Neumaier, Arnold
to calculate stack energy and with four synthetic data sets (small or medium and clean or noisy). The small their best estimate of the corrections. Initially, ORNL was told that the maximum value of the stack energy optimization problem. The initial value for the energy was 1035. The initial valley was 2183. After 98
HPC CLOUD APPLIED TO LATTICE OPTIMIZATION
Sun, Changchun; Nishimura, Hiroshi; James, Susan; Song, Kai; Muriki, Krishna; Qin, Yong
2011-03-18
As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advanced Light Source (ALS) have been running Lattice Optimization on a local cluster, but the queue wait time and the flexibility to request compute resources when needed are not ideal for rapid development work. To explore alternatives, for the first time we investigate running the Lattice Optimization application on Amazon's new CCI to demonstrate the feasibility and trade-offs of using public cloud services for science.
Optimization Under Constraints by Applying an Asymmetric Entropy Measure
Lindberg, DV; Lee, HKH
2015-01-01
Association, 103, “Optimization under unknown constraints. ”for surrogate-based optimization with constraint handling. ”constrained global optimization. ” Engineering Optimization,
Optimal experimental design applied to DC resistivity problems
Coles, Darrell Ardon, 1971-
2008-01-01
The systematic design of experiments to optimally query physical systems through manipulation of the data acquisition strategy is termed optimal experimental design (OED). This dissertation introduces the state-of-the-art ...
RETROFIT: A SOFTWARE TO SOLVE OPTIMIZATION AND IDENTIFICATION PROBLEMS APPLIED TO BUILDING ENERGY
Boyer, Edmond
RETROFIT: A SOFTWARE TO SOLVE OPTIMIZATION AND IDENTIFICATION PROBLEMS APPLIED TO BUILDING ENERGY the software ReTrofiT that specifically treats this kind of problems applied to building energy performance mod, inverse problems. INTRODUCTION Energy management systems in buildings greatly contribute
POND-Hindsight: Applying Hindsight Optimization to POMDPs Alan Olsen and Daniel Bryce
Sanner, Scott
POND-Hindsight: Applying Hindsight Optimization to POMDPs Alan Olsen and Daniel Bryce alan@olsen.org, daniel.bryce@usu.edu Utah State University Logan, UT Abstract We present the POND-Hindsight entry planning graph heuristic. POND-Hindsight is an action selection mechanism that eval- uates each possible
Haber, Eldad
2014-03-17
The focus of research was: Developing adaptive mesh for the solution of Maxwell's equations; Developing a parallel framework for time dependent inverse Maxwell's equations; Developing multilevel methods for optimization problems with inequal- ity constraints; A new inversion code for inverse Maxwell's equations in the 0th frequency (DC resistivity); A new inversion code for inverse Maxwell's equations in low frequency regime. Although the research concentrated on electromagnetic forward and in- verse problems the results of the research was applied to the problem of image registration.
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Apply Application Process Bringing together top, space science students with internationally recognized researchers at Los Alamos in an educational and collaborative atmosphere....
SIAM J. OPTIM. c 2010 Society for Industrial and Applied Mathematics Vol. 20, No. 6, pp. 35553576
Zhang, Hongchao
is explicitly available. These least-squares optimization problems arise frequently in computational science Sciences, IBM T.J. Watson Research Center, Route 134, P.O. Box 218, Yorktown Heights, NY 10598 (arconn@us.ibmSIAM J. OPTIM. c 2010 Society for Industrial and Applied Mathematics Vol. 20, No. 6, pp. 3555
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O D SFederal FacilityApplicantOffice ofApply Application
Nature-Inspired Optimization Techniques Applied to Antennas for Wireless Communications and Radar
Kovitz, Joshua Michael
2012-01-01
3 Comparison Between PSO andParticle Swarm Optimization (PSO) Real-valued Particle SwarmDevelopment . . . . . . . . . . . . . . . . . . . . . PSO
A Quantum Approximate Optimization Algorithm Applied to a Bounded Occurrence Constraint Problem
Edward Farhi; Jeffrey Goldstone; Sam Gutmann
2015-06-25
We apply our recent Quantum Approximate Optimization Algorithm to the combinatorial problem of bounded occurrence Max E3LIN2. The input is a set of linear equations each of which contains exactly three boolean variables and each equation says that the sum of the variables mod 2 is 0 or is 1. Every variable is in no more than D equations. A random string will satisfy 1/2 of the equations. We show that the level one QAOA will efficiently produce a string that satisfies $\\left(\\frac{1}{2} + \\frac{1}{101 D^{1/2}\\, l n\\, D}\\right)$ times the number of equations. A recent classical algorithm achieved $\\left(\\frac{1}{2} + \\frac{constant}{D^{1/2}}\\right)$. We also show that in the typical case the quantum computer will output a string that satisfies $\\left(\\frac{1}{2}+ \\frac{1}{2\\sqrt{3e}\\, D^{1/2}}\\right)$ times the number of equations.
Applying the Battery Ownership Model in Pursuit of Optimal Battery Use Strategies (Presentation)
Neubauer, J.; Ahmad, P.; Brooker, A.; Wood, E.; Smith, K.; Johnson, C.; Mendelsohn, M.
2012-05-01
This Annual Merit Review presentation describes the application of the Battery Ownership Model for strategies for optimal battery use in electric drive vehicles (PEVs, PHEVs, and BEVs).
Asplund, Erik; Kluener, Thorsten [Institut fuer Reine und Angewandte Chemie, Carl von Ossietzky Universitaet Oldenburg, Postfach 2503, D-26111 Oldenburg (Germany)
2012-03-28
In this paper, control of open quantum systems with emphasis on the control of surface photochemical reactions is presented. A quantum system in a condensed phase undergoes strong dissipative processes. From a theoretical viewpoint, it is important to model such processes in a rigorous way. In this work, the description of open quantum systems is realized within the surrogate Hamiltonian approach [R. Baer and R. Kosloff, J. Chem. Phys. 106, 8862 (1997)]. An efficient and accurate method to find control fields is optimal control theory (OCT) [W. Zhu, J. Botina, and H. Rabitz, J. Chem. Phys. 108, 1953 (1998); Y. Ohtsuki, G. Turinici, and H. Rabitz, J. Chem. Phys. 120, 5509 (2004)]. To gain control of open quantum systems, the surrogate Hamiltonian approach and OCT, with time-dependent targets, are combined. Three open quantum systems are investigated by the combined method, a harmonic oscillator immersed in an ohmic bath, CO adsorbed on a platinum surface, and NO adsorbed on a nickel oxide surface. Throughout this paper, atomic units, i.e., ({Dirac_h}/2{pi})=m{sub e}=e=a{sub 0}= 1, have been used unless otherwise stated.
Meyer, Arne [University of Hamburg, c/o DESY, Building 22a, Notkestrasse 85, 22603 Hamburg (Germany); Dierks, Karsten [University of Hamburg, c/o DESY, Building 22a, Notkestrasse 85, 22603 Hamburg (Germany); XtalConcepts, Marlowring 19, 22525 Hamburg (Germany); Hussein, Rana [University of Hamburg, c/o DESY, Building 22a, Notkestrasse 85, 22603 Hamburg (Germany); Brillet, Karl [ESBS, Pôle API, 300 Boulevard Sébastien Brant, CS10413, 67412 Illkirch CEDEX (France); Brognaro, Hevila [São Paulo State University, UNESP/IBILCE, Caixa Postal 136, São José do Rio Preto-SP, 15054 (Brazil); Betzel, Christian, E-mail: christian.betzel@uni-hamburg.de [University of Hamburg, c/o DESY, Building 22a, Notkestrasse 85, 22603 Hamburg (Germany)
2015-01-01
Application of in situ dynamic light scattering to solutions of protein–detergent complexes permits characterization of these complexes in samples as small as 2 µl in volume. Detergents are widely used for the isolation and solubilization of membrane proteins to support crystallization and structure determination. Detergents are amphiphilic molecules that form micelles once the characteristic critical micelle concentration (CMC) is achieved and can solubilize membrane proteins by the formation of micelles around them. The results are presented of a study of micelle formation observed by in situ dynamic light-scattering (DLS) analyses performed on selected detergent solutions using a newly designed advanced hardware device. DLS was initially applied in situ to detergent samples with a total volume of approximately 2 µl. When measured with DLS, pure detergents show a monodisperse radial distribution in water at concentrations exceeding the CMC. A series of all-transn-alkyl-?-d-maltopyranosides, from n-hexyl to n-tetradecyl, were used in the investigations. The results obtained verify that the application of DLS in situ is capable of distinguishing differences in the hydrodynamic radii of micelles formed by detergents differing in length by only a single CH{sub 2} group in their aliphatic tails. Subsequently, DLS was applied to investigate the distribution of hydrodynamic radii of membrane proteins and selected water-insoluble proteins in presence of detergent micelles. The results confirm that stable protein–detergent complexes were prepared for (i) bacteriorhodopsin and (ii) FetA in complex with a ligand as examples of transmembrane proteins. A fusion of maltose-binding protein and the Duck hepatitis B virus X protein was added to this investigation as an example of a non-membrane-associated protein with low water solubility. The increased solubility of this protein in the presence of detergent could be monitored, as well as the progress of proteolytic cleavage to separate the fusion partners. This study demonstrates the potential of in situ DLS to optimize solutions of protein–detergent complexes for crystallization applications.
Garvie, Marcus R
. 775791 OPTIMAL CONTROL OF A NUTRIENT-PHYTOPLANKTON-ZOOPLANKTON-FISH SYSTEM MARCUS R. GARVIE of an optimal control problem for a nonlinear "nutrient-phytoplankton-zooplankton-fish" reaction282] the dynamics of plankton were investigated as a function of parameters for nutrient levels and fish predation
SIAM J. OPTIM. c 2005 Society for Industrial and Applied Mathematics Vol. 15, No. 3, pp. 863897
Stanford University
, Canada (mpf@cs.ubc.ca). This work was supported by U.S. National Science Foundation grant CCR- 9988205 and efficiency of the stabilized LCL procedure. Key words. large-scale optimization, nonlinear programming Computing Research, U.S. Department of Energy contract W- 31-109-Eng-38. Department of Management Science
Harilal, S. S.
of optimization included simulation and benchmarking of LPP devices with single and dual-beam pulses, producing efficient sources showing the highest rate of laser energy conversion to EUV photons output. Several by an initial pre-pulse laser for the following subsequent heating and ionization by the main laser pulse
SIAM J. OPTIM. c 2010 Society for Industrial and Applied Mathematics Vol. 20, No. 4, pp. 17861810
Pinar, Ali
1810 OPTIMIZATION STRATEGIES FOR THE VULNERABILITY ANALYSIS OF THE ELECTRIC POWER GRID ALI PINAR, JUAN MEZA, VAIBHAV a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid representation of the graph of the power grid). The reduced combinatorial problem is known as the network
SIAM J. OPTIM. c 2014 Society for Industrial and Applied Mathematics Vol. 24, No. 1, pp. 4983
Greif, Chen
and apply a symmetric positive definite solver. In this paper we use energy estimates to obtain bounds, MontrÂ´eal, QC, Canada (dominique.orban@gerad.ca). This author's research was partially supported, Section 6.11) or (Nachtigal, Reddy, and Trefethen, 1992). To make our point, we use energy estimates
CX-003164: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...
DISSELKAMP RS
2011-01-06
Boehmite (e.g., aluminum oxyhydroxide) is a major non-radioactive component in Hanford and Savannah River nuclear tank waste sludge. Boehmite dissolution from sludge using caustic at elevated temperatures is being planned at Hanford to minimize the mass of material disposed of as high-level waste (HLW) during operation of the Waste Treatment Plant (WTP). To more thoroughly understand the chemistry of this dissolution process, we have developed an empirical kinetic model for aluminate production due to boehmite dissolution. Application of this model to Hanford tank wastes would allow predictability and optimization of the caustic leaching of aluminum solids, potentially yielding significant improvements to overall processing time, disposal cost, and schedule. This report presents an empirical kinetic model that can be used to estimate the aluminate production from the leaching of boehmite in Hanford waste as a function of the following parameters: (1) hydroxide concentration; (2) temperature; (3) specific surface area of boehmite; (4) initial soluble aluminate plus gibbsite present in waste; (5) concentration of boehmite in the waste; and (6) (pre-fit) Arrhenius kinetic parameters. The model was fit to laboratory, non-radioactive (e.g. 'simulant boehmite') leaching results, providing best-fit values of the Arrhenius A-factor, A, and apparent activation energy, E{sub A}, of A = 5.0 x 10{sup 12} hour{sup -1} and E{sub A} = 90 kJ/mole. These parameters were then used to predict boehmite leaching behavior observed in previously reported actual waste leaching studies. Acceptable aluminate versus leaching time profiles were predicted for waste leaching data from both Hanford and Savannah River site studies.
Matlab-based Optimization: Optimization Toolbox
Crawford, T. Daniel
Matlab-based Optimization: the Optimization Toolbox Gene Cliff (AOE/ICAM - ecliff@vt.edu ) 3:00pm Engineering ICAM: Interdisciplinary Center for Applied Mathematics 1 / 37 #12;Matlab's Optimization Toolbox Classifying Optimization Problems A Soup Can Example Intermezzo A Trajectory Example 2nd Trajectory Example
Sandia Energy - Applied Turbulent Combustion
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and they form the basis for the creation of validated submodels that bridge fundamental energy sciences with applied device engineering and optimization. Turbulent-combustion-lab...
Optimal Execution Strategy: Price Impact and Transaction Cost
JUNCA PELAEZ, MAURICIO JOSE
2011-01-01
processes. SIAM Journal on Control and Optimization, 48(2):control problem associated with jump processes. Applied Mathematics and Optimization,
Convex Optimization Convex Optimization
Masci, Frank
Convex Optimization #12;#12;Convex Optimization Stephen Boyd Department of Electrical Engineering Cataloguing-in-Publication data Boyd, Stephen P. Convex Optimization / Stephen Boyd & Lieven Vandenberghe p. cm. Includes bibliographical references and index. ISBN 0 521 83378 7 1. Mathematical optimization. 2
$author.value
Current research topics by the Applied Math Faculty members include: Numerical analysis and applications of finite difference, finite element and spectral ...
IMPACT OF DYNAMIC VOLTAGE SCALING (DVS) ON CIRCUIT OPTIMIZATION
Esquit Hernandez, Carlos A.
2010-01-16
Circuit designers perform optimization procedures targeting speed and power during the design of a circuit. Gate sizing can be applied to optimize for speed, while Dual-VT and Dynamic Voltage Scaling (DVS) can be applied to optimize for leakage...
CX-010216: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Design and Optimization of a Biochemical Production Platform with Biosensor-guided Synthetic Evolution CX(s) Applied: A9, B3.6 Date: 02/28/2013 Location(s): California Offices(s): Golden Field Office
CX-100053: Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Distribution grid analytic platform for automated DG interconnection analysis and grid optimization Award Number: DE-EE0006688 CX(s) Applied: A9 Date: 09/11/2014 Location(s): Multiple Office(s): Golden Field Office
CX-012678: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Optimizing Polymer–Grafted Amidoxime-based Adsorbents for Uranium Uptake from Seawater - Georgia Institute of Technology CX(s) Applied: B3.6Date: 41863 Location(s): GeorgiaOffices(s): Nuclear Energy
CX-007432: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Integrated Optimization and Cost Analysis of an Innovative Offshore Wind Plant Design for Shallow and Transitional Water Depths CX(s) Applied: A9 Date: 12/07/2011 Location(s): Virginia Offices(s): Golden Field Office
CX-009310: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Optimization of Reservoir Storage Capacity in Different Depositional Environments (Rock Sampling) CX(s) Applied: B3.1 Date: 08/30/2012 Location(s): Multiple Offices(s): National Energy Technology Laboratory
CX-009311: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Optimization of Reservoir Storage Capacity in Different Depositional Environments (Champaign) CX(s) Applied: A9 Date: 08/30/2012 Location(s): Illinois Offices(s): National Energy Technology Laboratory
CX-012111: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Thermochemical Storage with Anhydrous Ammonia: Optimizing the Synthesis Reactor for Direct Production of Supercritical Steam CX(s) Applied: A9 Date: 05/06/2014 Location(s): California Offices(s): Golden Field Office
CX-008905: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Optimizing Accuracy of Determinations of Carbon Dioxide Storage Capacity and Permanence CX(s) Applied: A1, A9, B3.6 Date: 08/29/2012 Location(s): Wyoming Offices(s): National Energy Technology Laboratory
CX-010688: Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Optimization Project #3 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s): RMOTC
CX-010541: Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Optimization Project Area #2 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 06/28/2013 Location(s): Wyoming Offices(s): RMOTC
CX-010687: Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Optimization Project Area #1 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s): RMOTC
Gnie mcanique Multi-Objective Optimization applied
Diggavi, Suhas
of the "smartgrid" technological concept. While it aims at improving the efficiency of energy production, the smartgrid technology is expected to achieve a fast deployment in the forthcoming years. In this study
Section 3.5: Additional Applied Optimization
2014-04-10
Apr 4, 2014 ... A manufacturer can produce T-shirts at a cost of $3 apiece. The shirts have been selling at $7 apiece, and at this price they have been selling ...
Decomposition methods for semidefinite optimization
Sun, Yifan
2015-01-01
optimization . . . . . . . . . . . . . . . . . . . . . . . . . .Optimization over sparse matrixoptimization . . . . . . . . . . . . . . . . . . . . . . .
Graben, Peter beim; Fröhlich, Flavio
2015-01-01
We optimally estimate the recurrence structure of a multivariate time series by Markov chains obtained from recurrence grammars. The goodness of fit is assessed with a utility function derived from the stochastic Markov transition matrix. It assumes a local maximum for the distance threshold of the optimal recurrence grammar. We validate our approach by means of the nonlinear Lorenz system and its linearized stochastic surrogates. Finally we apply our optimization procedure to the segmentation of neurophysiological time series obtained from anesthetized animals. We propose the number of optimal recurrence domains as a statistic for classifying an animals' state of consciousness.
Optimization Online Links. Optimization related societies. Mathematical Optimization Society · SIAM · INFORMS. Optimization related journals. Mathematical ...
Montana State University 1 Applied Mathematics
Maxwell, Bruce D.
Montana State University 1 Applied Mathematics Option M 171Q Calculus I 4 or M 181Q 348 Techniques of Applied Math I 3 M 349 Techniques of Applied Mathematics II 3 M 386R Software Applications in Mathematics 3 M 441 Numerical Linear Algebra & Optimization 3 M 442 Numerical Solution
Optimization Journals, Sites, Societies - Optimization Online
Optimization related societies. Mathematical Optimization Society · SIAM · INFORMS. Optimization related journals. Mathematical Programming and ...
Adilson E. Motter; Zoltan Toroczkai
2007-07-07
The recent surge in the network modeling of complex systems has set the stage for a new era in the study of fundamental and applied aspects of optimization in collective behavior. This Focus Issue presents an extended view of the state of the art in this field and includes articles from a large variety of domains where optimization manifests itself, including physical, biological, social, and technological networked systems.
1993-12-31
From the title, the reader is led to expect a broad practical treatise on combustion and combustion devices. Remarkably, for a book of modest dimension, the author is able to deliver. The text is organized into 12 Chapters, broadly treating three major areas: combustion fundamentals -- introduction (Ch. 1), thermodynamics (Ch. 2), fluid mechanics (Ch. 7), and kinetics (Ch. 8); fuels -- coal, municipal solid waste, and other solid fuels (Ch. 4), liquid (Ch. 5) and gaseous (Ch. 6) fuels; and combustion devices -- fuel cells (Ch. 3), boilers (Ch. 4), Otto (Ch. 10), diesel (Ch. 11), and Wankel (Ch. 10) engines and gas turbines (Ch. 12). Although each topic could warrant a complete text on its own, the author addresses each of these major themes with reasonable thoroughness. Also, the book is well documented with a bibliography, references, a good index, and many helpful tables and appendices. In short, Applied Combustion does admirably fulfill the author`s goal for a wide engineering science introduction to the general subject of combustion.
Optimization of Signal Processing Software for Control System Implementation
Bhattacharyya, Shuvra S.
Optimization of Signal Processing Software for Control System Implementation Shuvra S for design and optimization of signal processing software are important in achieving efficient controller that techniques developed for optimizing DSP software apply equally well to controller software. However
Nielsen, Finn Ã?rup
Canonical Ridge Analysis with Ridge Parameter Optimization F. Ã?. Nielsen, L. K. Hansen and S. C - PLS 1 = k 0 = k optimal k k = optimal k k Â£ Â£ 0 #12; Canonical Ridge Analysis with Ridge Parameter Optimization F. Ã?. Nielsen, L. K. Hansen and S. C. Strother The Human Brain Project, P20 MH57180 ``Spatial
Gschwind, Michael K
2013-07-23
Mechanisms for aggressively optimizing computer code are provided. With these mechanisms, a compiler determines an optimization to apply to a portion of source code and determines if the optimization as applied to the portion of source code will result in unsafe optimized code that introduces a new source of exceptions being generated by the optimized code. In response to a determination that the optimization is an unsafe optimization, the compiler generates an aggressively compiled code version, in which the unsafe optimization is applied, and a conservatively compiled code version in which the unsafe optimization is not applied. The compiler stores both versions and provides them for execution. Mechanisms are provided for switching between these versions during execution in the event of a failure of the aggressively compiled code version. Moreover, predictive mechanisms are provided for predicting whether such a failure is likely.
Optimization Online - Semi-Online Scheduling on Two Uniform ...
Aug 4, 2015 ... Citation: Angewandte Mathematik und Optimierung Schriftenreihe / Applied Mathematics and Optimization ... Entry Last Modified: 08/04/2015.
Optimization Online - Mixed Integer Second-Order Cone ...
Aug 4, 2015 ... Citation: Angewandte Mathematik und Optimierung Schriftenreihe / Applied Mathematics and Optimization ... Entry Last Modified: 08/04/2015.
Communication Optimization for Customizable Domain-Specific Computing
Xiao, Bingjun
2015-01-01
Optimization . . . . . . . . . . . . . . . . . . . . .Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . .176 Communication Optimization
Crivelli, Silvia; Meza, Juan 60 APPLIED LIFE SCIENCES Ernest...
Office of Scientific and Technical Information (OSTI)
folding via divide-and-conquer optimization Oliva, Ricardo; Crivelli, Silvia; Meza, Juan 60 APPLIED LIFE SCIENCES Ernest Orlando Lawrence Berkeley NationalLaboratory, Berkeley, CA...
Convex and Nonsmooth Optimization Submissions - 2012. January 2012. Nonsmooth Optimization Necessary optimality conditions in pessimistic bilevel ...
Optimization related societies. Mathematical Optimization Society · SIAM · INFORMS. Optimization related journals. Mathematical Programming and ...
Wang, Haoqing
2015-01-01
Optimization . . . . . . . . . . . . . . . . .annotation optimization . . . . . . . . . . . . . . . . .Opt. is the time after optimization. Anno- phos is the time
Optimization Online - Nonlinear Optimization Submissions - 2014
Nonlinear Optimization Submissions - 2014. January 2014. Constrained Nonlinear Optimization New active set identification for general constrained ...
Applied Mathematics Department of Applied Mathematics
Applied Mathematics Department of Applied Mathematics 208 Engineering 1 Building 10 W. 32nd St, Graduate Studies: Xiaofan Li The Department of Applied Mathematics puts mathe- matics to work solving, such as how to construct methods for multi-criteria decision making (requiring discrete mathematics
Brown, Matt
2013-01-01
Optimizations . . . . . . . . . . . . . . . . . . . . . . . . . . . . .24 and 26. APPENDIX B Optimizations Included in thisappendix are the three optimization steps which together
MODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES
Van den Hof, Paul
.mesbah@tudelft.nl Dynamic optimization is applied for optimal control of a semi-industrial batch crystallisation process of the open-loop optimal control due to plant-model mismatch, unmeasured process disturbances, irreproducibleMODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES A. Mesbah1, 2 , J. Landlust
dominic
2013-03-26
Lesson 30. Optimization (I). 1. A woman wants to build a rectangular garden next to a straight river. She will enclose the garden on 3 sides with fencing—the ...
Optimization Online - Nonlinear Optimization Submissions - 2013
Nonlinear Optimization Submissions - 2013. January 2013. A Framework of Constraint Preserving Update Schemes for Optimization on Stiefel Manifold
Optimization Online - Nonlinear Optimization Submissions - 2012
Nonlinear Optimization Submissions - 2012. January 2012. Systems governed by Differential Equations Optimization Squeeze-and-Breathe Evolutionary Monte ...
Convex and Nonsmooth Optimization Submissions - 2014. January 2014. Convex Optimization Generalized Gauss Inequalities via Semidefinite Programming
Carver Performance and Optimization
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Optimization Performance and Optimization Performance Monitoring Last edited: 2012-01-09 12:31:03...
Hutter, Marcus
Optimization Difficulty Tansu Alpcan Introduction Definitions and Model Optimization Difficulty Bounds on Optimization Difficulty Conclusion Can we measure the difficulty of an optimization problem Science Australian National University ITW 2014, Hobart 1 / 22 #12;Optimization Difficulty Tansu Alpcan
minimax optimization for handling range and setup uncertainties in ...
2010-09-09
Results: The minimax optimization method is applied to a lung case, a paraspinal case, and a prostate case. It is compared to conventional meth- ods that use ...
Quantum Optimal Control Theory
J. Werschnik; E. K. U. Gross
2007-07-12
The control of quantum dynamics via specially tailored laser pulses is a long-standing goal in physics and chemistry. Partly, this dream has come true, as sophisticated pulse shaping experiments allow to coherently control product ratios of chemical reactions. The theoretical design of the laser pulse to transfer an initial state to a given final state can be achieved with the help of quantum optimal control theory (QOCT). This tutorial provides an introduction to QOCT. It shows how the control equations defining such an optimal pulse follow from the variation of a properly defined functional. We explain the most successful schemes to solve these control equations and show how to incorporate additional constraints in the pulse design. The algorithms are then applied to simple quantum systems and the obtained pulses are analyzed. Besides the traditional final-time control methods, the tutorial also presents an algorithm and an example to handle time-dependent control targets.
BWR Assembly Optimization for Minor Actinide Recycling
G. Ivan Maldonado; John M. Christenson; J.P. Renier; T.F. Marcille; J. Casal
2010-03-22
The Primary objective of the proposed project is to apply and extend the latest advancements in LWR fuel management optimization to the design of advanced boiling water reactor (BWR) fuel assemblies specifically for the recycling of minor actinides (MAs).
Theory and Applications of Robust Optimization
Bertsimas, Dimitris J.
In this paper we survey the primary research, both theoretical and applied, in the area of robust optimization (RO). Our focus is on the computational attractiveness of RO approaches, as well as the modeling power and broad ...
Python Optimization Modeling Objects (Pyomo)
2009-12-29
Dec 29, 2009 ... Python Repository [10]. Coopr includes a flexible framework for applying optimizers ..... for transmission across a communications channel. This includes simple .... This example network has two major compute ..... a Lockheed Martin Company, for the United States Department of Energy's National. Nuclear ...
MATHMATICS & APPLIED STATISTICS
Frey, Jesse C.
MATHMATICS & APPLIED STATISTICS Graduate Studies in Build Your Future with Graduate Study in Mathematics or Applied Statistics Our graduate programs can help you advance your career in education will deepen your knowledge and prepare you for further study. The Master of Science in Applied Statistics
Interconnection networks synthesis and optimization
Zhu, Yi
2008-01-01
Synthesis and Optimization . . . . . . . . . . .1.Wire Style Optimization . . . . . . . . . . . . . B. PowerSynthesis and Optimization . 1. Overview . . . . . . . . . .
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McPherson, Team Leader The Co-Design and Advance Architectures team concentrates on the optimization of entire computing systems--from the application to the hardware. We use an...
Authors, Various
2012-01-01
3 1st Edition FTN4 OPTIMIZATION TECHNIQUES November 1979O. INTRODUCTION 1. COt1PILER OPTIMIZATIONS 2. SOURCE CODEcode. Most of these optimizations decrease central processor
Optimization Online - Nonlinear Optimization Submissions - 2015
Nonlinear Optimization Submissions - 2015. January 2015. On iteratively reweighted Algorithms for Non-smooth Non-convex Optimization in Computer Vision
An integrated CAD methodology applied to wind turbine optimization
Crawford, Curran A. (Curran Alexander), 1978-
2003-01-01
Modern engineering practice for designing physical products requires the creation of a CAD model of the design for documentation and manufacturing. As the design evolves from concept through to production, it is analyzed ...
Improving WCET by Applying Worst-Case Path Optimizations
Mueller, Frank
Science Department, North Carolina State University mueller@cs.ncsu.edu Abstract It is advantageous at a higher clock rate, which consumes more energy. Many researchers use profiling to identify the frequently. Compiler writers in recent years have used profile information to detect the frequently executed paths
Applying Near-Optimal Alignments to Protein Structure Prediction
-ray crystallography and nuclear magnetic resonance (NMR), but this can be difficult as well as costly. Using homology BLAST search. IMPALA is a software package designed by NCBI that can search a target sequence against criteria and therefore may be more accurate (Gracy a
Advanced Review Geometry optimization
Schlegel, H. Bernhard
Advanced Review Geometry optimization H. Bernhard Schlegel Geometry optimization is an important part of most quantum chemical calcu- lations. This article surveys methods for optimizing equilibrium geometries, lo- cating transition structures, and following reaction paths. The emphasis is on optimizations
Jodice, Patrick
Optimization Jason Courter Foundations of Ecology #12;What is optimization? Maximization Minimization Optimization Natural Selection 1. Variation 2. Heritable Variation 3. Differential Reproduction #12;On Optimal use of a Patchy Environment · Robert MacArthur · Eric Pianka http
[SIAM conference on optimization
Not Available
1992-05-10
Abstracts are presented of 63 papers on the following topics: large-scale optimization, interior-point methods, algorithms for optimization, problems in control, network optimization methods, and parallel algorithms for optimization problems.
Optimization Online - Coordinators
Optimization Online Coordinators. Optimization Online submissions are electronically handled by a team of volunteer coordinators: Principal Coordinators.
Convex and Nonsmooth Optimization Submissions - 2001. January 2001. Convex Optimization Two properties of condition numbers for convex programs via ...
Authors, Various
2012-01-01
OPTIMIZATION When OPT=2 is specified on the FTN control statement, the compiler optimizes the user code in the process
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ARC Privacy and Security Notice Skip over navigation Search the JLab Site Applied Research Center Please upgrade your browser. This site's design is only visible in a graphical...
The following sample of the publications has been made available to you by members of the Applied faculty through their personal homepages. Prof. Zhiqiang
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1 Applied Modern Physics From the first bionic eye to airport scanners that detect liquid explosives, our expertise in developing advanced diagnostics results in real-world...
Global Optimization of Chemical Processes using Stochastic Algorithms
Neumaier, Arnold
Global Optimization of Chemical Processes using Stochastic Algorithms JULIO R. BANGA 1 and WARREN D engineering are difficult to optimize using gradientÂbased algorithms. These include process models with multimodalobjective functions and discontinuities. Herein, a stochastic algorithm is applied for the optimal design
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEYI/O Streams for Large-scale Scientific SimulationsOptimizing
Multiobjective Optimization and Multiple Constraint Handling with Evolutionary
Coello, Carlos A. Coello
The gas turbine engine model 1 3 The design problem 3 3.1 Design objectives] is applied to the optimization of the lowpressure spool speed governor of a Pegasus gas turbine engine] is applied to the optimization of the lowpressure spool speed governor of a Pegasus gas turbine engine
INTRODUCTION APPLIED GEOPHYSICS
Merriam, James
GEOL 384.3 INTRODUCTION TO APPLIED GEOPHYSICS OUTLINE INTRODUCTION TO APPLIED GEOPHYSICS GEOL 384 unknowns; the ones we don't know we don't know. And if one looks throughout the history of geophysics he didn't really say geophysics. He said, " ... our country and other free countries ...". But I am
Applied Music Curriculum Guide
Kearfott, R. Baker
1 Applied Music Curriculum Guide The University of Louisiana at Lafayette School of Music #12;2 Revised Spring 2009 UNIVERSITY OF LOUISIANA, Lafayette SCHOOL OF MUSIC APPLIED MUSIC CURRICULUM GUIDE Dr. Garth Alper, Director DEGREES OFFERED Bachelor of Music with emphases in Performance, Theory
M. Ndong; C. Koch; D. Sugny
2013-08-03
We apply two recent generalizations of monotonically convergent optimization algorithms to the control of molecular orientation by laser fields. We show how to minimize the control duration by a step-wise optimization and maximize the field-free molecular orientation using state-dependent constraints. We discuss the physical relevance of the different results.
Event-driven multithreaded dynamic optimization
Zhang, Weifeng
2006-01-01
Speci?c Optimizations . . . . . . . . . . . . . F.3. Trace Optimization Overhead . . . . . . . . . . . . . . .Dynamic Optimization . . . . . . .B. Optimizations with the
Analytical Chemistry Applied Mathematics
Heller, Barbara
Architecture Information Technology & Management Integrated Building Delivery Landscape Architecture ManagementAnalytical Chemistry Applied Mathematics Architectural Engineering Architecture Architecture Electricity Markets Environmental Engineering Food Process Engineering Food Safety & Technology
Sandia Energy - Applied & Computational Math
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Applied & Computational Math Home Energy Research Advanced Scientific Computing Research (ASCR) Applied & Computational Math Applied & Computational Mathcwdd2015-03-26T13:34:5...
KATAYUN (KATY) BARMAK Department of Applied Physics and Applied Mathematics
Columbia University
MEMBERSHIP OF PROFESSIONAL SOCIETIES IEEE, Materials Research Society (MRS); American Physical Society (APS1 KATAYUN (KATY) BARMAK Department of Applied Physics and Applied Mathematics Seeley W. Mudd. of Applied Physics and Applied Mathematics, Columbia University 2011-present Philips Electronics Professor
Optimal segmentation and packaging process
Kostelnik, Kevin M. (Idaho Falls, ID); Meservey, Richard H. (Idaho Falls, ID); Landon, Mark D. (Idaho Falls, ID)
1999-01-01
A process for improving packaging efficiency uses three dimensional, computer simulated models with various optimization algorithms to determine the optimal segmentation process and packaging configurations based on constraints including container limitations. The present invention is applied to a process for decontaminating, decommissioning (D&D), and remediating a nuclear facility involving the segmentation and packaging of contaminated items in waste containers in order to minimize the number of cuts, maximize packaging density, and reduce worker radiation exposure. A three-dimensional, computer simulated, facility model of the contaminated items are created. The contaminated items are differentiated. The optimal location, orientation and sequence of the segmentation and packaging of the contaminated items is determined using the simulated model, the algorithms, and various constraints including container limitations. The cut locations and orientations are transposed to the simulated model. The contaminated items are actually segmented and packaged. The segmentation and packaging may be simulated beforehand. In addition, the contaminated items may be cataloged and recorded.
The optimization problem Genetic Algorithm
Giménez, Domingo
The optimization problem Genetic Algorithm Particle Swarm Optimization Experimental results for time-power optimization META, October 27-31, 2014 1 / 25 #12;The optimization problem Genetic Algorithm Particle Swarm Optimization Experimental results Conclusions Time and energy optimization Traditionally
CX-009906: Categorical Exclusion Determinatio
Broader source: Energy.gov [DOE]
Optimized Co-Processing of Algal Bio-Crude through a Petroleum Refinery CX(s) Applied: A9, B3.6, B5.15 Date: 01/15/2013 Location(s): California, New Mexico Offices(s): Golden Field Office
CX-009855: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Development of Geographical Information System-Based Tool for Optimized Fluid Management in Shale Gas Operations CX(s) Applied: A9, A11, B3.6 Date: 01/18/2013 Location(s): Colorado Offices(s): National Energy Technology Laboratory
CX-009020: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Optimizing the Concentrated Solar Power Tower Air Brayton Cycle System to meet the SunShot Objectives CX(s) Applied: A9, B3.6 Date: 08/21/2012 Location(s): Texas Offices(s): Golden Field Office
CX-012201: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Optimization of Microwave Telecommunication System ON Line Nevada Transmission Project, f.k.a. Southwest Intertie Project - South CX(s) Applied: B1.19, B4.6 Date: 05/29/2012 Location(s): Nevada Offices(s): Loan Guarantee Program Office
CX-011700: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Optimal Power Buoy Structure Design for Maximized Power to Weight Ratio and Reduced Installed Capital Cost CX(s) Applied: A9, B3.6 Date: 01/15/2014 Location(s): New Jersey, New Jersey Offices(s): Golden Field Office
CX-100074: Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Integrated platform for optimized solar PV system design and engineering plan-set generation Award Number: DE-EE0006680 CX(s) Applied: A9 Solar Energy Technologies Date: 09/17/2014 Location(s): California Office(s): Golden Field Office
Information Science, Computing, Applied Math
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Information Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security depends on science...
Armen E. Allahverdyan; Karen Hovhannisyan; Guenter Mahler
2010-07-25
We study a refrigerator model which consists of two $n$-level systems interacting via a pulsed external field. Each system couples to its own thermal bath at temperatures $T_h$ and $T_c$, respectively ($\\theta\\equiv T_c/T_hisolated interaction between the systems driven by the external field and isothermal relaxation back to equilibrium. There is a complementarity between the power of heat transfer from the cold bath and the efficiency: the latter nullifies when the former is maximized and {\\it vice versa}. A reasonable compromise is achieved by optimizing the product of the heat-power and efficiency over the Hamiltonian of the two system. The efficiency is then found to be bounded from below by $\\zeta_{\\rm CA}=\\frac{1}{\\sqrt{1-\\theta}}-1$ (an analogue of the Curzon-Ahlborn efficiency), besides being bound from above by the Carnot efficiency $\\zeta_{\\rm C} = \\frac{1}{1-\\theta}-1$. The lower bound is reached in the equilibrium limit $\\theta\\to 1$. The Carnot bound is reached (for a finite power and a finite amount of heat transferred per cycle) for $\\ln n\\gg 1$. If the above maximization is constrained by assuming homogeneous energy spectra for both systems, the efficiency is bounded from above by $\\zeta_{\\rm CA}$ and converges to it for $n\\gg 1$.
Optimization and geophysical inverse problems
Barhen, J.
2008-01-01
for Unconstrained Optimization and Nonlinear Equations,equality constrained optimization, SIAM J. Optim. , 7, 28.R. , Practical Methods of Optimization, Wiley, New York, 436
Compiler Optimization Jordan Bradshaw
Valtorta, Marco
Compiler Optimization Jordan Bradshaw #12;Outline Overview Goals and Considerations Scope. 346- 352. Print. "Compiler Optimization." Wikipedia. Wikimedia Foundation, 25 04 2010. Web. 25 Apr 2010. #12;Compiler Optimization Goals: Speed
Pessimistic Bilevel Optimization
Wiesemann, Wolfram
We study a variant of the pessimistic bilevel optimization problem, which comprises constraints that must be satisfied for any optimal solution of a subordinate (lower-level) optimization problem. We present conditions ...
Reis, Catarina (Catarina Luis Monteiro dos)
2007-01-01
This thesis studies the optimal income tax scheme in four different settings. Chapter 1 focuses on the implications of lack of commitment for the optimal labor and capital income tax rates. It finds that it is optimal to ...
Optimization Online - Combinatorial Optimization Submissions - 2015
Combinatorial Optimization Submissions - 2015. January 2015. Polyhedra Steiner Trees with Degree Constraints: Structural Results and an Exact Solution ...
Optimization Online - Robust Optimization Submissions - 2015
Robust Optimization Submissions - 2015. January 2015. A Composite Risk Measure Framework for Decision Making under Uncertainty Pengyu Qian, Zizhuo ...
Optimization Online - Robust Optimization Submissions - 2013
Robust Optimization Submissions - 2013. January 2013. Robust Least Square Semidefinite Programming with Applications to Correlation Stress Testing
Optimization Online - Combinatorial Optimization Submissions - 2014
Combinatorial Optimization Submissions - 2014. January 2014. Approximation Algorithms Worst-Case Performance Analysis of Some Approximation Algorithms ...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O D SFederal FacilityApplicantOffice ofApply ApplicationApply
Topology optimization of robust superhydrophobic surfaces
A. Cavalli; P. Bøggild; F. Okkels
2013-02-27
In this paper we apply topology optimization to micro-structured superhydrophobic surfaces for the first time. It has been experimentally observed that a droplet suspended on a brush of micrometric posts shows a high static contact angle and low roll-off angle. To keep the fluid from penetrating the space between the posts, we search for an optimal post cross section, that minimizes the vertical displacement of the liquid-air interface at the base of the drop when a pressure difference is applied. Topology optimisation proves effective in this framework, showing that posts with a branching cross-section are optimal, which is consistent with several biologic strategies to achieve superhydrophobicity. Through a filtering technique, we can also control the characteristic length scale of the optimal design, thus obtaining feasible geometries
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Mission statement. Optimization Online is a repository of eprints about optimization and related topics. It facilitates quick dissemination of new research of ...
Subscribe to the Optimization Online Digest. Complete the form below to subscribe to the free Optimization Online Digest. Every month you will receive an e-mail ...
Credits. Development Optimization Online was developed by Jean-Pierre Goux. Optimization Online was conceived by Jean-Pierre Goux, Sanjay Mehrotra, and ...
Process optimized quantum cloners via semidefinite programming
Mátyás Koniorczyk; Lívia Dani; Vladimír Bužek
2013-07-18
We apply semidefinite programming for designing 1 to 2 symmetric qubit quantum cloners. These are optimized for the average fidelity of their joint output state with respect to a product of multiple originals. We design 1 to 2 quantum bit cloners using the numerical method for finding completely positive maps approximating a nonphysical one optimally. We discuss the properties of the so-designed cloners.
Nov 11, 2009 ... Location: Engineering (Periodicals) ... wave propagation in such systems is examined in reference (4). Gassman (5, 6) has ... Now Research Scientist at Missile. Systems ... Presented at the Applied Mechanics Division Summer Conference,. Berkeley ..... This will be true in some cases for a water- saturated ...
FUNDED BY CALL FOR SUSTAINABILITY RESEARCH STUDENT WHO CAN APPLY Undergraduate and graduate Participate in the Global Change & Sustainability Center's Research Symposium; attend workshops with faculty or publish in the U's student-run sustainability publication to be released in May 2014. Are you conducting
APPLYING RESEARCH ON METACOGNITION
School of Medicine01/09/14 #12;Define metacognition and explain its importance in teaching and learning, understand key genetic terms.) Next, apply knowledge to determine inheritance patterns and to formulate students presume that a best response strategy is to relate everything they know about a subject figuring
System Design and Optimization of CO2 Storage in Deep Saline Aquifers
Shamshiri, Hossein
2012-02-14
Optimization of waterflooding sweep efficiency has been widely applied in reservoir engineering to improve hydrocarbon recovery while delaying water breakthrough and minimizing the bypassed oil in reservoirs. We develop a new framework to optimize...
Optimization Under Generalized Uncertainty
Lodwick, Weldon
11 Optimization Under Generalized Uncertainty Optimization Modeling Math 4794/5794: Spring 2013 Weldon A. Lodwick Weldon.Lodwick@ucdenver.edu 2/14/2013 Optimization Modeling - Spring 2013 #12 in the context of optimization problems. The theoretical frame-work for these notes is interval analysis. From
Smyth, Gordon K.
Optimization Gordon K. Smyth Volume 3, pp 14811487 in Encyclopedia of Environmetrics (ISBN 0471 #12;Optimization Optimization is the process by which one finds that value of a vector x, say, that maximizes or minimizes a given function f x . The idea of optimization goes to the heart of statistical
Introduction Optimal Control Problem
Grigorieva, Ellina V.
and Computational Simulations Ellina Grigorieva and Evgenii Khailov Optimal control of a waste water cleaning plant Khailov Optimal control of a waste water cleaning plant #12;Introduction Model Optimal Control Problem applications will be discussed. Ellina Grigorieva and Evgenii Khailov Optimal control of a waste water cleaning
ORISE: Applied health physics projects
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Applied health physics projects The Oak Ridge Institute for Science and Education (ORISE) provides applied health physics services to government agencies needing technical support...
Waggoner, L.O.
1998-02-05
The presentation focuses on some of the time-proven and new technologies being used to accomplish radiological work. These techniques can be applied at nuclear facilities to reduce radiation doses and protect the environment. The last reactor plants and processing facilities were shutdown and Hanford was given a new mission to put the facilities in a safe condition, decontaminate, and prepare them for decommissioning. The skills that were necessary to operate these facilities were different than the skills needed today to clean up Hanford. Workers were not familiar with many of the tools, equipment, and materials needed to accomplish:the new mission, which includes clean up of contaminated areas in and around all the facilities, recovery of reactor fuel from spent fuel pools, and the removal of millions of gallons of highly radioactive waste from 177 underground tanks. In addition, this work has to be done with a reduced number of workers and a smaller budget. At Hanford, facilities contain a myriad of radioactive isotopes that are 2048 located inside plant systems, underground tanks, and the soil. As cleanup work at Hanford began, it became obvious early that in order to get workers to apply ALARA and use hew tools and equipment to accomplish the radiological work it was necessary to plan the work in advance and get radiological control and/or ALARA committee personnel involved early in the planning process. Emphasis was placed on applying,ALARA techniques to reduce dose, limit contamination spread and minimize the amount of radioactive waste generated. Progress on the cleanup has,b6en steady and Hanford workers have learned to use different types of engineered controls and ALARA techniques to perform radiological work. The purpose of this presentation is to share the lessons learned on how Hanford is accomplishing radiological work.
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of raregovAboutRecovery ActTools to someone byApplied Science/Techniques
Optimization Online - Robust Dual Response Optimization
Aug 8, 2015 ... Abstract: This article presents a robust optimization reformulation of the dual response problem developed in response surface methodology.
Optimization Online - Solving nonsmooth convex optimization with ...
May 8, 2015 ... Solving nonsmooth convex optimization with complexity $O(\\eps^{-1/2})$. Masoud Ahookhosh (masoud.ahookhosh ***at*** univie.ac.at)
Optimization Online - Probabilistic optimization via approximate p ...
W. van vAckooij
2015-05-27
May 27, 2015 ... Probabilistic optimization via approximate p-efficient points and bundle methods. W. van vAckooij(wim.van-ackooij ***at*** edf.fr )
Falcon: automated optimization method for arbitrary assessment criteria
Yang, Tser-Yuan (Livermore, CA); Moses, Edward I. (Livermore, CA); Hartmann-Siantar, Christine (Livermore, CA)
2001-01-01
FALCON is a method for automatic multivariable optimization for arbitrary assessment criteria that can be applied to numerous fields where outcome simulation is combined with optimization and assessment criteria. A specific implementation of FALCON is for automatic radiation therapy treatment planning. In this application, FALCON implements dose calculations into the planning process and optimizes available beam delivery modifier parameters to determine the treatment plan that best meets clinical decision-making criteria. FALCON is described in the context of the optimization of external-beam radiation therapy and intensity modulated radiation therapy (IMRT), but the concepts could also be applied to internal (brachytherapy) radiotherapy. The radiation beams could consist of photons or any charged or uncharged particles. The concept of optimizing source distributions can be applied to complex radiography (e.g. flash x-ray or proton) to improve the imaging capabilities of facilities proposed for science-based stockpile stewardship.
Optimal control and Galois theory
Zelikin, M I; Kiselev, D D; Lokutsievskiy, L V [M. V. Lomonosov Moscow State University, Faculty of Mechanics and Mathematics, Moscow (Russian Federation)
2013-11-30
An important role is played in the solution of a class of optimal control problems by a certain special polynomial of degree 2(n?1) with integer coefficients. The linear independence of a family of k roots of this polynomial over the field Q implies the existence of a solution of the original problem with optimal control in the form of an irrational winding of a k-dimensional Clifford torus, which is passed in finite time. In the paper, we prove that for n?15 one can take an arbitrary positive integer not exceeding [n/2] for k. The apparatus developed in the paper is applied to the systems of Chebyshev-Hermite polynomials and generalized Chebyshev-Laguerre polynomials. It is proved that for such polynomials of degree 2m every subsystem of [(m+1)/2] roots with pairwise distinct squares is linearly independent over the field Q. Bibliography: 11 titles.
APPLIED TECHNOLOGY Strategic Plan Summary
Heller, Barbara
SCHOOL OF APPLIED TECHNOLOGY Strategic Plan Summary #12;School of Applied Technology Strategic Plan Summary | 1 SCHOOL OF APPLIED TECHNOLOGY STRATEGIC PLAN SUMMARY MISSION STATEMENT The mission Technology and Management program to achieve national visibility. #12;School of Applied Technology Strategic
Global Optimization of Chemical Reactors and Kinetic Optimization
ALHUSSEINI, ZAYNA ISHAQ
2013-01-01
and M. Sheintuch. "OPTIMIZATION OF AN AUTOTHERMAL MONOLITHICIdentification Via Global Optimization Techniques. AIChE1: 91-103. Chapter 3 Optimization of a 3-D Monolith Reactor
E85 Optimized Engine through Boosting, Spray Optimized DIG, VCR...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
E85 Optimized Engine through Boosting, Spray Optimized GDi, VCR and Variable Valvetrain E85 Optimized Engine Enhanced Ethanol Engine And Vehicle Efficiency (Agreement 13425)...
HOMOTOPY OPTIMIZATION METHODS FOR GLOBAL OPTIMIZATION
O'Leary, Dianne P.
HOMOTOPY OPTIMIZATION METHODS FOR GLOBAL OPTIMIZATION DANIEL M. DUNLAVY AND DIANNE P. O'LEARY under Grants CCR 02-04084 and CCF 05-14213. 1 #12;2 D.M. DUNLAVY AND D.P. O'LEARY point is generated
A Method for Determining Optimal Residential Energy Efficiency Packages
Polly, B.; Gestwick, M.; Bianchi, M.; Anderson, R.; Horowitz, S.; Christensen, C.; Judkoff, R.
2011-04-01
This report describes an analysis method for determining optimal residential energy efficiency retrofit packages and, as an illustrative example, applies the analysis method to a 1960s-era home in eight U.S. cities covering a range of International Energy Conservation Code (IECC) climate regions. The method uses an optimization scheme that considers average energy use (determined from building energy simulations) and equivalent annual cost to recommend optimal retrofit packages specific to the building, occupants, and location.
On Achieving Optimal Throughput with Network Coding
Li, Zongpeng
, Information theory, Mathematical programming/optimization, Simulations. I. INTRODUCTION In its most general justifications. First, as past research in network flow theory [2] and information theory [3] suggests and fundamental in that, a solution constructed for undirected networks can usually be applied to solve the same
Exact Algorithms for Combinatorial Optimization Problems with ...
2012-03-30
We apply our general results to problems from wireless network design and mean-risk ..... In wireless networks, the transmission costs depend on the ...... The LP-based approach is applicable to general submodular functions; it yields a flexible and fast solution ... Optimal solutions to minimum total energy broadcasting.
GLOBAL OPTIMIZATION OF ENERGY AND PRODUCTION IN PROCESS INDUSTRIES: A
Neumaier, Arnold
produces filtered water for consumption in the various mill departments, and so the production rateGLOBAL OPTIMIZATION OF ENERGY AND PRODUCTION IN PROCESS INDUSTRIES: A GENETIC ALGORITHM APPLICATION a genetic algorithm is developed and applied for the optimal assignment of all the production sections
DYNAMIC EMBEDDED OPTIMIZATION AND SHOOTING METHODS FOR POWER
for Deregulated Electric Power Systems: Optimization, Control, and Computational Intelligence, J. Chow, F. Wu are not always established formally, nevertheless underlying optimization principles apply. Design questions is usually undesirable, and tends to be induced by inter- actions between generator controllers. In many
Improved Crosstalk Modeling with Applications to Noise Constrained Interconnect Optimization
Pan, David Z.
Improved Crosstalk Modeling with Applications to Noise Constrained Interconnect Optimization This paper presents a highly accurate yet efficient crosstalk noise model, the 2-¢ model, and applies to be noise immune, ac- curate yet efficient noise models are needed to guide interconnect optimizations
Sensitivity of Optimal Operation of an Activated Sludge Process Model
Skogestad, Sigurd
Sensitivity of Optimal Operation of an Activated Sludge Process Model Antonio Araujo, Simone sensitivity analysis of optimal operation conducted on an activated sludge process model based on the test.[7] applied a systematic procedure for control structure design of an activated sludge process
Optimization and learning based video coding
An, Cheolhong
2008-01-01
2 Rate-Distortion Optimization . . . . . . . . . . . .Distortion Optimization . . . . . . . . . . . . . . . . . .Rate-Distortion Optimization . . . . . . . . . . . .
Journal of Applied Ecology 2001
Queensland, University of
of maintaining a low fuel load by using more frequent fire. 5. Because the cost of management was assumed, Ltd Using stochastic dynamic programming to determine optimal fire management for Banksia ornata M-making tool), to deter- mine optimal fire management strategies that incorporate trade-offs between biodiver
Birnir, Bjorn; Rowlett, Julie
2010-01-01
383 pp. EROSION AND OPTIMAL TRANSPORT [23] I. Ekeland and T.and D. Simons, Sediment transport capacity of overland ?ow,measure spaces via optimal transport, Ann. of Math. (2),
Matson, J.
1985-01-01
A cooling water system can be optimized by operation at the highest possible cycles of concentration without risking sealing and fouling on heat exchanger surfaces. The way to optimize will be shown, with a number of examples of new systems....
Nanoscale SRAM Variability and Optimization
Toh, Seng Oon
2011-01-01
Dynamic Read Stability 5 Stochastic Optimization of SRAM 5.15.2 Bitcell Optimization . . . . . . . . .5.2.1 GlobalTechnology . . Optimization . . . . . . Read and Write
Integrated Energy System Dispatch Optimization
Firestone, Ryan; Stadler, Michael; Marnay, Chris
2006-01-01
Energy System Dispatch Optimization Ryan Firestone, MichaelEnergy System Dispatch Optimization Ryan Firestone - Studentthe real-time dispatch optimization problem for a generic
Power network analysis and optimization
Zhang, Wanping
2009-01-01
chip power supply network optimization using multigrid-basedchip decoupling capacitor optimization for high- performanceSapatnekar, “Analysis and optimization of structured power/
Yang, Xin-She; Fong, Simon
2012-01-01
Business optimization is becoming increasingly important because all business activities aim to maximize the profit and performance of products and services, under limited resources and appropriate constraints. Recent developments in support vector machine and metaheuristics show many advantages of these techniques. In particular, particle swarm optimization is now widely used in solving tough optimization problems. In this paper, we use a combination of a recently developed Accelerated PSO and a nonlinear support vector machine to form a framework for solving business optimization problems. We first apply the proposed APSO-SVM to production optimization, and then use it for income prediction and project scheduling. We also carry out some parametric studies and discuss the advantages of the proposed metaheuristic SVM.
Linear, Cone and Semidefinite Programming Submissions - 2014. January 2014. Linear Programming A strongly polynomial algorithm for linear optimization ...
Convex and Nonsmooth Optimization Submissions - 2013. January 2013. Second-Order Variational Analysis in Conic Programming with Applications to ...
Magnetic Resonance Tissue Density Estimation using Optimal SSFP Pulse- Sequence Design Christopher Anand ... Gun Srijuntongsiri, Stephen Vavasis.
A. Benseny; G. Albareda; A. S. Sanz; J. Mompart; X. Oriols
2014-10-20
Bohmian mechanics provides an explanation of quantum phenomena in terms of point particles guided by wave functions. This review focuses on the formalism of non-relativistic Bohmian mechanics, rather than its interpretation. Although the Bohmian and standard quantum theories have different formalisms, both give exactly the same predictions for all phenomena. Fifteen years ago, the quantum chemistry community began to study the practical usefulness of Bohmian mechanics. Since then, the scientific community has mainly applied it to study the (unitary) evolution of single-particle wave functions, either by developing efficient quantum trajectory algorithms or by providing a trajectory-based explanation of complicated quantum phenomena. Here we present a large list of examples showing how the Bohmian formalism provides a useful solution in different forefront research fields for this kind of problems (where the Bohmian and the quantum hydrodynamic formalisms coincide). In addition, this work also emphasizes that the Bohmian formalism can be a useful tool in other types of (non-unitary and nonlinear) quantum problems where the influence of the environment or the global wave function are unknown. This review contains also examples on the use of the Bohmian formalism for the many-body problem, decoherence and measurement processes. The ability of the Bohmian formalism to analyze this last type of problems for (open) quantum systems remains mainly unexplored by the scientific community. The authors of this review are convinced that the final status of the Bohmian theory among the scientific community will be greatly influenced by its potential success in these type of problems that present non-unitary and/or nonlinear quantum evolutions. A brief introduction of the Bohmian formalism and some of its extensions are presented in the last part of this review.
Adaptability of a Discrete PSO Algorithm applied to the Traveling Salesman Problem with Fuzzy Data
Ludwig, Simone
Adaptability of a Discrete PSO Algorithm applied to the Traveling Salesman Problem with Fuzzy Data-known optimization method, Particle Swarm Optimization (PSO), when solving a fuzzy problem. The discrete PSO in order to study the impact of uncertain information in the quality of the results provided by PSO
Optimization Online Digest -- October 2015
Optimization Online Digest — October 2015. Applications — OR and Management Sciences Polynomial SDP Cuts for Optimal Power Flow Hassan Hijazi ...
Optimization Online Digest -- March 2015
Optimization Online Digest — March 2015. Applications — OR and Management Sciences Stochastic versus Robust Optimization for a Transportation Problem
Optimization Online Digest -- September 2014
Optimization Online Digest — September 2014. Applications — OR and Management Sciences Multistage Adaptive Robust Optimization for the Unit ...
Optimization Online Digest -- March 2014
Topology Optimization for Magnetic Circuits dedicated to Electric Propulsion Satafa Sanogo, Frederic Messine, Carole Henaux, Raphael Vilamot Inverse optimal ...
Hysteretic Optimization For Spin Glasses
B. Goncalves; S. Boettcher
2007-12-10
The recently proposed Hysteretic Optimization (HO) procedure is applied to the 1D Ising spin chain with long range interactions. To study its effectiveness, the quality of ground state energies found as a function of the distance dependence exponent, $\\sigma$, is assessed. It is found that the transition from an infinite-range to a long-range interaction at $\\sigma=0.5$ is accompanied by a sharp decrease in the performance . The transition is signaled by a change in the scaling behavior of the average avalanche size observed during the hysteresis process. This indicates that HO requires the system to be infinite-range, with a high degree of interconnectivity between variables leading to large avalanches, in order to function properly. An analysis of the way auto-correlations evolve during the optimization procedure confirm that the search of phase space is less efficient, with the system becoming effectively stuck in suboptimal configurations much earlier. These observations explain the poor performance that HO obtained for the Edwards-Anderson spin glass on finite-dimensional lattices, and suggest that its usefulness might be limited in many combinatorial optimization problems.
Optimal segmentation and packaging process
Kostelnik, K.M.; Meservey, R.H.; Landon, M.D.
1999-08-10
A process for improving packaging efficiency uses three dimensional, computer simulated models with various optimization algorithms to determine the optimal segmentation process and packaging configurations based on constraints including container limitations. The present invention is applied to a process for decontaminating, decommissioning (D and D), and remediating a nuclear facility involving the segmentation and packaging of contaminated items in waste containers in order to minimize the number of cuts, maximize packaging density, and reduce worker radiation exposure. A three-dimensional, computer simulated, facility model of the contaminated items are created. The contaminated items are differentiated. The optimal location, orientation and sequence of the segmentation and packaging of the contaminated items is determined using the simulated model, the algorithms, and various constraints including container limitations. The cut locations and orientations are transposed to the simulated model. The contaminated items are actually segmented and packaged. The segmentation and packaging may be simulated beforehand. In addition, the contaminated items may be cataloged and recorded. 3 figs.
Applying Mathematics.... ... to catch criminals
O'Leary, Michael
Applying Mathematics.... ... to catch criminals Mike O'Leary Department of Mathematics Towson University Stevenson University Kappa Mu Epsion 2008 Mike O'Leary (Towson University) Applying mathematics Department Mike O'Leary (Towson University) Applying mathematics to catch criminals September 10, 2008 2 / 42
Journal of Applied Ecology 2004
Holl, Karen
Journal of Applied Ecology 2004 41, 922933 © 2004 British Ecological Society Blackwell Publishing-scale, Sacramento River, succession, vegetation Journal of Applied Ecology (2004) 41, 922933 Introduction More than@ucsc.edu). #12;923 Riparian forest restoration © 2004 British Ecological Society, Journal of Applied Ecology, 41
Journal of Applied Ecology 2002
Holl, Karen
Journal of Applied Ecology 2002 39, 960970 © 2002 British Ecological Society Blackwell Science- tion, succession. Journal of Applied Ecology (2002) 39, 960970 Introduction Efforts to reclaim@ucsc.edu). #12;961 Vegetation on reclaimed mines © 2002 British Ecological Society, Journal of Applied Ecology
Journal of Applied Ecology 2007
Journal of Applied Ecology 2007 44, 748759 © 2007 The Authors. Journal compilation © 2007 British, distribution, edge, marbled murrelets, model transferability, old-growth Journal of Applied Ecology (2007) 44-nesting Alcid © 2007 The Authors. Journal compilation © 2007 British Ecological Society, Journal of Applied
Three Essays in Applied Microeconomics
Han, Sungmin
2013-04-22
propensity score matching method. For the second part, using household level panel data, it addresses the substantial heterogeneity across demographic groups. In addition, for the last section, I also investigate firm’s optimal innovation strategy...
AN ERGODIC CONTROL PROBLEM FOR CONSTRAINED DIFFUSION PROCESSES: EXISTENCE OF OPTIMAL
Budhiraja, Amarjit
AN ERGODIC CONTROL PROBLEM FOR CONSTRAINED DIFFUSION PROCESSES: EXISTENCE OF OPTIMAL MARKOV CONTROL of Markov processes corresponding to all possible Markov controls. Key words. ergodic control, optimal AMARJIT BUDHIRAJA SIAM J. CONTROL OPTIM. c 2003 Society for Industrial and Applied Mathematics Vol. 42, No
Using Genetic Algorithms to Optimize Social Robot Behavior for Improved Pedestrian Flow
Maciejewski, Anthony A. "Tony"
Using Genetic Algorithms to Optimize Social Robot Behavior for Improved Pedestrian Flow Bryce D pedestrian flow. In this case, a genetic algorithm is applied to find the optimal parameters to a crowded situation can result in significant improvement in pedestrian flow. Using the optimized values
Some Aspects of Optimality in Natural Language Interpretation
Blutner, Reinhard
optimality theory (OT) to semantics. These authors argue that there is a fundamental difference between Berlin Abstract In a series of papers, Petra Hendriks, Helen de Hoop and Henriëtte de Swart have applied`s (1981) idea of balancing between informativeness and efficiency in natural language processing
Efficiency optimization for Atomic Frequency Comb storage
M. Bonarota; J. Ruggiero; J. -L. Le Gouët; T. Chanelière
2009-11-23
We study the efficiency of the Atomic Frequency Comb storage protocol. We show that for a given optical depth, the preparation procedure can be optimize to significantly improve the retrieval. Our prediction is well supported by the experimental implementation of the protocol in a \\TMYAG crystal. We observe a net gain in efficiency from 10% to 17% by applying the optimized preparation procedure. In the perspective of high bandwidth storage, we investigate the protocol under different magnetic fields. We analyze the effect of the Zeeman and superhyperfine interaction.
Zhou, Zhi; de Bedout, Juan Manuel; Kern, John Michael; Biyik, Emrah; Chandra, Ramu Sharat
2013-01-22
A system for optimizing customer utility usage in a utility network of customer sites, each having one or more utility devices, where customer site is communicated between each of the customer sites and an optimization server having software for optimizing customer utility usage over one or more networks, including private and public networks. A customer site model for each of the customer sites is generated based upon the customer site information, and the customer utility usage is optimized based upon the customer site information and the customer site model. The optimization server can be hosted by an external source or within the customer site. In addition, the optimization processing can be partitioned between the customer site and an external source.
Convex and Nonsmooth Optimization Submissions - 2015. December 2015. Solving ill-posed bilevel programs. Alain B. Zemkoho. January 2015. A remark on ...
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Optimization Online E-Print Update. Our secure versioning tool allows you to update your submission by uploading a new version of the report, changing the ...
Applications — OR and Management Sciences Submissions - 2013. January 2013. A two-step optimization approach for job shop scheduling problem using a ...
Classification Scheme - Optimization Online
Submissions are organized according to the following top areas and sub areas: Applications - OR and Management Sciences. Airline Optimization; Finance and ...
Hopper Performance and Optimization
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Performance and Optimization Compiler Comparisons Comparison of different compilers with different options on several benchmarks. Read More Using OpenMP Effectively...
Control and optimization system
Xinsheng, Lou
2013-02-12
A system for optimizing a power plant includes a chemical loop having an input for receiving an input parameter (270) and an output for outputting an output parameter (280), a control system operably connected to the chemical loop and having a multiple controller part (230) comprising a model-free controller. The control system receives the output parameter (280), optimizes the input parameter (270) based on the received output parameter (280), and outputs an optimized input parameter (270) to the input of the chemical loop to control a process of the chemical loop in an optimized manner.
Euler's fluid equations: Optimal Control vs Optimization
Darryl D. Holm
2009-09-28
An optimization method used in image-processing (metamorphosis) is found to imply Euler's equations for incompressible flow of an inviscid fluid, without requiring that the Lagrangian particle labels exactly follow the flow lines of the Eulerian velocity vector field. Thus, an optimal control problem and an optimization problem for incompressible ideal fluid flow both yield the \\emph {same} Euler fluid equations, although their Lagrangian parcel dynamics are \\emph{different}. This is a result of the \\emph{gauge freedom} in the definition of the fluid pressure for an incompressible flow, in combination with the symmetry of fluid dynamics under relabeling of their Lagrangian coordinates. Similar ideas are also illustrated for SO(N) rigid body motion.
Homotopy optimization methods for global optimization.
Dunlavy, Daniel M.; O'Leary, Dianne P. (University of Maryland, College Park, MD)
2005-12-01
We define a new method for global optimization, the Homotopy Optimization Method (HOM). This method differs from previous homotopy and continuation methods in that its aim is to find a minimizer for each of a set of values of the homotopy parameter, rather than to follow a path of minimizers. We define a second method, called HOPE, by allowing HOM to follow an ensemble of points obtained by perturbation of previous ones. We relate this new method to standard methods such as simulated annealing and show under what circumstances it is superior. We present results of extensive numerical experiments demonstrating performance of HOM and HOPE.
Hybrid Design Optimization of High Voltage Pulse Transformers for Klystron Modulators
Sylvain, Candolfi; Davide, Aguglia; Jerome, Cros
2015-01-01
This paper presents a hybrid optimization methodology for the design of high voltage pulse transformers used in klystron modulators. The optimization process is using simplified 2D FEA design models of the 3D transformer structure. Each intermediate optimal solution is evaluated by 3D FEA and correction coefficients of the 2D FEA models are derived. A new optimization process using 2D FEA models is then performed. The convergence of this hybrid optimal design methodology is obtained with a limited number of time consuming 3D FEA simulations. The method is applied to the optimal design of a monolithic high voltage pulse transformer for the CLIC klystron modulator.
Stochastic Optimization Modeling
2014-07-04
Third, its theoretical properties were studied (convexity, separability and optimality con- .... in Section 3, have the structure of problems PEV and PS, respectively, and for this reason we review ... may produce poor optimization results as it is depicted in Figure 1 for the instance with ...... Second, it has been assessed that the.
Industrial Optimization Compact Course
Kirches, Christian
Industrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role in designing and conducting industrial processes. The potential gains range from saving valuable resources over makers from industry and academia to initiate new projects and to foster new structured collaborations
The Foundations of Applied Mathematics
Baez, John
The Foundations of Applied Mathematics John Baez Category-Theoretic Foundations of Mathematics Workshop May 5, 2013 #12;We often picture the flow of information about mathematics a bit like this: SCIENCE AND ENGINEERING APPLIED MATHEMATICS PURE MATHEMATICS FOUNDATIONS OF MATHEMATICS #12;Of course
Optimal Uncertainty Quantification
Owhadi, Houman; Sullivan, Timothy John; McKerns, Mike; Ortiz, Michael
2010-01-01
We propose a rigorous framework for Uncertainty Quantification (UQ) in which the UQ objectives and the assumptions/information set are brought to the forefront. This framework, which we call \\emph{Optimal Uncertainty Quantification} (OUQ), is based on the observation that, given a set of assumptions and information about the problem, there exist optimal bounds on uncertainties: these are obtained as extreme values of well-defined optimization problems corresponding to extremizing probabilities of failure, or of deviations, subject to the constraints imposed by the scenarios compatible with the assumptions and information. In particular, this framework does not implicitly impose inappropriate assumptions, nor does it repudiate relevant information. Although OUQ optimization problems are extremely large, we show that under general conditions, they have finite-dimensional reductions. As an application, we develop \\emph{Optimal Concentration Inequalities} (OCI) of Hoeffding and McDiarmid type. Surprisingly, contr...
Computational Differentiation in Global Optimization
Neumaier, Arnold
Computational Differentiation in Global Optimization Software This talk will present: 1. The general problem framework in optimization software. 2. An example of effectiveness of computational differentiation in optimization packages. 3. Particular importance of computational differentiation verified
Query Optimization Techniques Class Hierarchies
Mannheim, Universität
Query Optimization Techniques Exploiting Class Hierarchies Sophie Cluet 1 Guido Moerkotte 2 1 INRIA Since the introduction of object base management systems (OBMS), many query optimization techniques tailored for object query languages have been proposed. They adapt known optimization techniques
Optimal Asymptotic Entrainment of Phase-Reduced Oscillators
Anatoly Zlotnik; Jr-Shin Li
2011-09-25
We derive optimal periodic controls for entrainment of a self-driven oscillator to a desired frequency. The alternative objectives of minimizing power and maximizing frequency range of entrainment are considered. A state space representation of the oscillator is reduced to a linearized phase model, and the optimal periodic control is computed from the phase response curve using formal averaging and the calculus of variations. Computational methods are used to calculate the periodic orbit and the phase response curve, and a numerical method for approximating the optimal controls is introduced. Our method is applied to asymptotically control the period of spiking neural oscillators modeled using the Hodgkin-Huxley equations. This example illustrates the optimality of entrainment controls derived using phase models when applied to the original state space system.
J. E. Avron; A. Elgart; G. M. Graf; L. Sadun
2001-07-12
We study adiabatic quantum pumps on time scales that are short relative to the cycle of the pump. In this regime the pump is characterized by the matrix of energy shift which we introduce as the dual to Wigner's time delay. The energy shift determines the charge transport, the dissipation, the noise and the entropy production. We prove a general lower bound on dissipation in a quantum channel and define optimal pumps as those that saturate the bound. We give a geometric characterization of optimal pumps and show that they are noiseless and transport integral charge in a cycle. Finally we discuss an example of an optimal pump related to the Hall effect.
Optimal Demand Response Libin Jiang
Optimal Demand Response Libin Jiang Steven Low Computing + Math Sciences Electrical Engineering Caltech Oct 2011 #12;Outline Caltech smart grid research Optimal demand response #12;Global trends 1
Optimization Online Digest -- July 2014
Analysis of mixed integer programming formulations for single machine scheduling problems with sequence dependent setup ... Linear conic optimization for nonlinear optimal control ... Circuit and bond polytopes on series-
Optimized Algorithms Boost Combustion Research
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Optimized Algorithms Boost Combustion Research Optimized Algorithms Boost Combustion Research Methane Flame Simulations Run 6x Faster on NERSC's Hopper Supercomputer November 25,...
GRADUATE BOOKLET Physics / Applied Physics
Rock, Chris
GRADUATE BOOKLET Physics / Applied Physics This booklet contains rules, guidelines and general information about graduate studies in the Physics Department at Texas Tech University. It does not replace documents. Contents I. General Comments: Admission, general policies, deadlines, etc II. Minimum
Modeling applied to problem solving
Pawl, Andrew
We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...
IIT SCHOOL OF APPLIED TECHNOLOGY
Heller, Barbara
. MANUFACTURINGTECHNOLOGY. #12;BE A LEADER OF THE NEXT INDUSTRIAL REVOLUTION. An undergraduate degree in IndustrialINDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY INDUSTRIAL OPERATIONS. RESOURCE MANAGEMENT. INDUSTRIAL FACILITIES. SUPPLY CHAIN MANAGEMENT. SUSTAINABILITY
Optimal control methods for fast time-varying Hamiltonians
F. Motzoi; J. M. Gambetta; S. T. Merkel; F. K. Wilhelm
2011-06-21
In this article, we develop a numerical method to find optimal control pulses that accounts for the separation of timescales between the variation of the input control fields and the applied Hamiltonian. In traditional numerical optimization methods, these timescales are treated as being the same. While this approximation has had much success, in applications where the input controls are filtered substantially or mixed with a fast carrier, the resulting optimized pulses have little relation to the applied physical fields. Our technique remains numerically efficient in that the dimension of our search space is only dependent on the variation of the input control fields, while our simulation of the quantum evolution is accurate on the timescale of the fast variation in the applied Hamiltonian.
Optimization of tensegrity structures
Marzari, Quentin
2014-01-01
This thesis presents a new approach to solve the optimization of articulated structures and especially looks into the performance of tensegrity systems compared to regular trusses. Volume is the objective to minimize and ...
Multi-period portfolio optimization with alpha decay ... Transmission and Generation Investment in Electricity Markets: The Effects of Market Splitting and ... Improving Large Scale Day-ahead Security Constrained Unit Commitment Performance
Xiong, Ying, S.M. Massachusetts Institute of Technology
2010-01-01
Although most racers are good at controlling their cars, world champions are always talented at choosing the right racing line while others mostly fail to do that. Optimal racing line selection is a critical problem in car ...
Polyethylene fiber drawing optimization
Chiloyan, Vazrik
2011-01-01
Polymer fiber drawing creates fibers with enhanced thermal conductivity and strength compared to bulk polymer because drawing aligns the molecular chains. I optimize the polymer fiber drawing method in order to achieve ...
Communicating optimization results
Bailey, Drake (William Drake)
2013-01-01
With global supply chains becoming increasingly complex, leading companies are embracing optimization software tools to help them structure and coordinate their supply chains. With an array of choices available, many ...
Kim, Wonjung, Ph. D. Massachusetts Institute of Technology
2013-01-01
It is generally presupposed that the shapes and mechanisms encountered in nature have evolved in such a way as to maximize the robustness of a species. However, most such optimization problems arising in biology are ...
de Souza, J.; Holden, D.
2004-01-01
Energy Optimization is one of the key issues facing the chemical process industries today. The drivers are both economic and environmental. Utilities are among the top operating expenses for manufacturers, reflecting elevated energy prices...
Brown, David Benjamin, Ph. D. Massachusetts Institute of Technology
2006-01-01
This thesis develops and explores the connections between risk theory and robust optimization. Specifically, we show that there is a one-to-one correspondence between a class of risk measures known as coherent risk measures ...
Wang, Haoqing
2015-01-01
optimization with the new Java 8 feature: type annotation.12] is an extension of Java type system and can be used withon State Of the Art in Java Program Analysis, SOAP ’13,
Nuclear Energy Density Optimization
M. Kortelainen; T. Lesinski; J. Moré; W. Nazarewicz; J. Sarich; N. Schunck; M. V. Stoitsov; S. Wild
2010-05-27
We carry out state-of-the-art optimization of a nuclear energy density of Skyrme type in the framework of the Hartree-Fock-Bogoliubov (HFB) theory. The particle-hole and particle-particle channels are optimized simultaneously, and the experimental data set includes both spherical and deformed nuclei. The new model-based, derivative-free optimization algorithm used in this work has been found to be significantly better than standard optimization methods in terms of reliability, speed, accuracy, and precision. The resulting parameter set UNEDFpre results in good agreement with experimental masses, radii, and deformations and seems to be free of finite-size instabilities. An estimate of the reliability of the obtained parameterization is given, based on standard statistical methods. We discuss new physics insights offered by the advanced covariance analysis.
Service based logistics optimization
Price, Gregory D., Jr
2014-01-01
This thesis explores the use of a service based logistics optimization (SBLO) methodology for an inbound reverse logistics network. Currently, Quest Diagnostics solves the vehicle routing problem with time windows (VRPTW) ...
Preisig, H. A.
1988-01-01
is the surface J(-) of which the optimum is sought. Experience teaches that the optimum of the unconstrained response surface lays often outside the permissible domain which puts the permissible optimal operating point on the boundary which is defined.... The optimizer can thus use the model to predict the steady state and decide on the next move before the process has reached the steady state. ? Identification Scheme Different identification schemes should be used depending on the signal/noise ra tio...
Optimal Newton-type algorithms for nonconvex smooth optimization
Sidorov, Nikita
Optimal Newton-type algorithms for nonconvex smooth optimization Coralia Cartis Mathematical-HPC Workshop on New Directions in Nonlinear Optimization University of Manchester, School of Mathematics, March 19, 2014 New Directions in Nonlinear Optimization: Manchester, 2014 Â p. 1/33 #12;Unconstrained
Perry, Dewayne E.
A Data-Centric Approach to Optimize Time in Workflow-Based Business Process Yuqun Zhang, Dewayne E to optimize it in workflow- based business processes. By applying our data-centric business process modeling-time performance, data-centric, business process optimization I. INTRODUCTION In the realm of business process
Convex Optimization Course Welcome Pack
Hall, Julian
1 NATCOR Convex Optimization Course 23rd Â 27th June 2014 Welcome Pack This pack contains. ABSTRACT Convex optimization is the fundamental process of optimal decision-making. Although mathematically restrictive, many practical problems may be modelled directly as convex optimization problems. Convex
Optimization Online Digest -- June 2014
Optimization Online Digest — June 2014. Applications — OR and Management Sciences Robust newsvendor problem with autoregressive demand
Contexts/Motivation Online optimization
Jaillet, Patrick
with recourse, Markov decision process, stochastic optimal control, etc.) No probabilistic assumptionsContexts/Motivation Online optimization In-depth Cases Online Optimization Patrick Jaillet1 Michael funded by NSF, ONR, AFOSR, and Singapore Online Optimization, Jaillet & Wagner INFORMS, November 8, 2010
CX-009418: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Electron Beam Melting CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office
CX-009420: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Additive Manufacturing Using EOSINT M280 CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office
CX-009419: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Magnetic Pulser CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office
Optimization of Heat Exchangers
Ivan Catton
2010-10-01
The objective of this research is to develop tools to design and optimize heat exchangers (HE) and compact heat exchangers (CHE) for intermediate loop heat transport systems found in the very high temperature reator (VHTR) and other Generation IV designs by addressing heat transfer surface augmentation and conjugate modeling. To optimize heat exchanger, a fast running model must be created that will allow for multiple designs to be compared quickly. To model a heat exchanger, volume averaging theory, VAT, is used. VAT allows for the conservation of mass, momentum and energy to be solved for point by point in a 3 dimensional computer model of a heat exchanger. The end product of this project is a computer code that can predict an optimal configuration for a heat exchanger given only a few constraints (input fluids, size, cost, etc.). As VAT computer code can be used to model characteristics )pumping power, temperatures, and cost) of heat exchangers more quickly than traditional CFD or experiment, optimization of every geometric parameter simultaneously can be made. Using design of experiment, DOE and genetric algorithms, GE, to optimize the results of the computer code will improve heat exchanger disign.
Alexander Bolonkin; Robert Sierakowski
2007-01-19
Current research suggests the use of a liner quadratic performance index for optimal control of regulators in various applications. Some examples include correcting the trajectory of rocket and air vehicles, vibration suppression of flexible structures, and airplane stability. In all these cases, the focus is in suppressing/decreasing system deviations rapidly. However, if one compares the Linear Quadratic Regulator (LQR) solution with optimal solutions (minimum time), it is seen that the LQR solution is less than optimal in some cases indeed (3-6) times that obtained using a minimum time solution. Moreover, the LQR solution is sometimes unacceptable in practice due to the fact that values of control extend beyond admissible limits and thus the designer must choose coefficients in the linear quadratic form, which are unknown. The authors suggest methods which allow finding a quasi-optimal LQR solution with bounded control which is closed to the minimum time solution. They also remand the process of the minimum time decision. Keywords: Optimal regulator, minimum time controller, Linear Quadratic Regulator (LQR). -- This paper is declared a work of the U.S. Government and not subject to copyright protection in the USA. The manuscript is accepted as paper AIAA-2003-6638 by 2nd AIAA Unmanned Unlimited Systems, Technologies, and Operations-Aerospace, Land, and See Conference and Workshop - Exhibit, San Diego, California, USA, 15-18 Sep. 2003.
Applying for a Training Contract
, usual deadline is July 31, 2013 for entry in September 2015. Students should apply in the 2nd year aimed at 2nd year LLB students & final year non-law students. Competition for these places is often more will successfully complete the Legal Practice Course each year. From the point of view of the student, there can
Applied Sustainability Political Science 319
Young, Paul Thomas
1 Applied Sustainability Political Science 319 College of Charleston Spring 2013 Day/Time: TH 1 Address: fisherb@cofc.edu Office: 284 King Street, #206 (Office of Sustainability) Office Hours: by appt sustainability. It will focus on the development of semester-long sustainability projects, from conception
Journal of Applied Ecology 2006
Thomas, Len
Journal of Applied Ecology 2006 43, 377384 © 2006 The Authors. Journal compilation © 2006 British Ecological Society Blackwell Publishing Ltd METHODOLOGICAL INSIGHTS Point transect sampling with traps, Etive House, Beechwood Park, Inverness IV2 3BW, UK Summary 1. The ability to monitor abundance of animal
Applying the Continuous Monitoring Technical
by providing technical leadership for the nation's measurement and standards infrastructure. ITL develops tests of technical, physical, administrative, and management standards and guidelines for the cost-effective securityApplying the Continuous Monitoring Technical Reference Model to the Asset, Configuration
temperature heat pumps applied to
Oak Ridge National Laboratory
Very high- temperature heat pumps applied to energy efficiency in industry Application of industrial heat pumps June 21 th 2012 J-L Peureux, E. Sapora, D. Bobelin EDF R&D #12;Achema 2012 Frankfurt There are thermal requirements in the industrial plant Treq Heat exchanger = Cons ~ 0 CO2 ~ -100% Treq
McMordie Stoughton, Kate; Duan, Xiaoli; Wendel, Emily M.
2013-08-26
This technology evaluation was prepared by Pacific Northwest National Laboratory on behalf of the U.S. Department of Energy’s Federal Energy Management Program (FEMP). ¬The technology evaluation assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. This evaluation provides a general description of RO systems, the influence of RO systems on water use, and key areas where RO systems can be optimized to reduce water and energy consumption. The evaluation is intended to help facility managers at Federal sites understand the basic concepts of the RO process and system optimization options, enabling them to make informed decisions during the system design process for either new projects or recommissioning of existing equipment. This evaluation is focused on commercial-sized RO systems generally treating more than 80 gallons per hour.¬
2013-08-01
This technology evaluation was prepared by Pacific Northwest National Laboratory on behalf of the U.S. Department of Energy’s Federal Energy Management Program (FEMP). The technology evaluation assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. This evaluation provides a general description of RO systems, the influence of RO systems on water use, and key areas where RO systems can be optimized to reduce water and energy consumption. The evaluation is intended to help facility managers at Federal sites understand the basic concepts of the RO process and system optimization options, enabling them to make informed decisions during the system design process for either new projects or recommissioning of existing equipment. This evaluation is focused on commercial-sized RO systems generally treating more than 80 gallons per hour.
Fuzzy logic controller optimization
Sepe, Jr., Raymond B; Miller, John Michael
2004-03-23
A method is provided for optimizing a rotating induction machine system fuzzy logic controller. The fuzzy logic controller has at least one input and at least one output. Each input accepts a machine system operating parameter. Each output produces at least one machine system control parameter. The fuzzy logic controller generates each output based on at least one input and on fuzzy logic decision parameters. Optimization begins by obtaining a set of data relating each control parameter to at least one operating parameter for each machine operating region. A model is constructed for each machine operating region based on the machine operating region data obtained. The fuzzy logic controller is simulated with at least one created model in a feedback loop from a fuzzy logic output to a fuzzy logic input. Fuzzy logic decision parameters are optimized based on the simulation.
Distributed Optimization System
Hurtado, John E. (Albuquerque, NM); Dohrmann, Clark R. (Albuquerque, NM); Robinett, III, Rush D. (Tijeras, NM)
2004-11-30
A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.
Surveillance test interval optimization
Cepin, M.; Mavko, B. [Institut Jozef Stefan, Ljublijana (Slovenia)
1995-12-31
Technical specifications have been developed on the bases of deterministic analyses, engineering judgment, and expert opinion. This paper introduces our risk-based approach to surveillance test interval (STI) optimization. This approach consists of three main levels. The first level is the component level, which serves as a rough estimation of the optimal STI and can be calculated analytically by a differentiating equation for mean unavailability. The second and third levels give more representative results. They take into account the results of probabilistic risk assessment (PRA) calculated by a personal computer (PC) based code and are based on system unavailability at the system level and on core damage frequency at the plant level.
Predictive Energy Optimization
Dickinson, P.
2013-01-01
stream_source_info ESL-IC-13-10-06.pdf.txt stream_content_type text/plain stream_size 1445 Content-Encoding ISO-8859-1 stream_name ESL-IC-13-10-06.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Predictive?Energy?Optimization...?with?all?major?BMS? ? 10?30%?HVAC?energy?savings?and?up?to?30%?peak? load?reduction during?DR?events ? Subscription?based?service?? minimal?capex BuildingIQ optimizes?energy?use?in?commercial?buildings?by?transforming? existing...
Eldred, M.S.; Hart, W.E.; Bohnhoff, W.J.; Romero, V.J.; Hutchinson, S.A.; Salinger, A.G.
1996-08-01
the benefits of applying optimization to computational models are well known, but their range of widespread application to date has been limited. This effort attempts to extend the disciplinary areas to which optimization algorithms may be readily applied through the development and application of advanced optimization strategies capable of handling the computational difficulties associated with complex simulation codes. Towards this goal, a flexible software framework is under continued development for the application of optimization techniques to broad classes of engineering applications, including those with high computational expense and nonsmooth, nonconvex design space features. Object-oriented software design with C++ has been employed as a tool in providing a flexible, extensible, and robust multidisciplinary toolkit with computationally intensive simulations. In this paper, demonstrations of advanced optimization strategies using the software are presented in the hybridization and parallel processing research areas. Performance of the advanced strategies is compared with a benchmark nonlinear programming optimization.
Training Schrödinger's cat: quantum optimal control
Stefffen J. Glaser; Ugo Boscain; Tommaso Calarco; Christiane P. Koch; Walter Köckenberger; Ronnie Kosloff; Ilya Kuprov; Burkard Luy; Sophie Schirmer; Thomas Schulte-Herbrüggen; D. Sugny; Frank K. Wilhelm
2015-08-03
It is control that turns scientific knowledge into useful technology: in physics and engineering it provides a systematic way for driving a system from a given initial state into a desired target state with minimized expenditure of energy and resources -- as famously applied in the Apollo programme. As one of the cornerstones for enabling quantum technologies, optimal quantum control keeps evolving and expanding into areas as diverse as quantum-enhanced sensing, manipulation of single spins, photons, or atoms, optical spectroscopy, photochemistry, magnetic resonance (spectroscopy as well as medical imaging), quantum information processing and quantum simulation. --- Here state-of-the-art quantum control techniques are reviewed and put into perspective by a consortium uniting expertise in optimal control theory and applications to spectroscopy, imaging, quantum dynamics of closed and open systems. We address key challenges and sketch a roadmap to future developments.
Performance Measure for Optimal Quantum Control
Alexandre Coutinho Lisboa; Jose Roberto Castilho Piqueira
2015-08-30
The problem concerning the minimum time for an initial state to evolve up to a target state plays an important role in the Classic Optimal Control theory. In the quantum context, as quantum states are so sensitive to environmental influences, the problem is more complex, but its formulation and solution are decisive to implement quantum information processing systems. As is well known, the decoherence phenomenon is unavoidable and the time-energy uncertainty relation must be used to study quantum dynamics. Here, the time-energy uncertainty relations are revisited, being fundamental to propose performance measures based on minimum time evolution. A minimum time performance measure is definedfor quantum control problems. Then, some practical examples are considered and the minimum time performance measure is applied providing results that are supposed to be useful for researchers to pursue strategies to optimize the control of the states of a quantum system.
Performance Measure for Optimal Quantum Control
Alexandre Coutinho Lisboa; Jose Roberto Castilho Piqueira
2015-04-15
The problem concerning the minimum time for an initial state to evolve up to a target state plays an important role in the Classic Optimal Control theory. In the quantum context, as quantum states are so sensitive to environmental influences, the problem is more complex, but its formulation and solution are decisive to implement quantum information processing systems. As is well known, the decoherence phenomenon is unavoidable and the time-energy uncertainty relation must be used to study quantum dynamics. Here, the time-energy uncertainty relations are revisited, being fundamental to propose performance measures based on minimum time evolution. A minimum time performance measure is definedfor quantum control problems. Then, some practical examples are considered and the minimum time performance measure is applied providing results that are supposed to be useful for researchers to pursue strategies to optimize the control of the states of a quantum system.
Soontrapa, Chaiyod
2005-01-01
Modifying material properties provides another approach to optimize coated particle fuel used in pebble bed reactors. In this study, the MIT fuel performance model (TIMCOAT) was applied after benchmarking against the ...
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain
Belloni, Alexandre
2011-07-12
We develop results for the use of LASSO and Post-LASSO methods to form first-stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with many instruments, p, that apply even when p ...
Ryder, Barbara G.
constraints of mobile devices, develop- ers of mobile applications commonly apply the cloud offloading offloading, program trans- formation, optimization 1. Introduction As mobile devices are rapidly overtaking devices, developers of mobile applications commonly leverage distributed execution, in which energy
Application of Genetic Algorithm to Optimal Design of Central Air-Conditioning Water System
Feng, X.; Zou, Y.; Long, W.
2006-01-01
algorithm (GA ) has special advantages in tackling this problem based on its inherent characteristics.Genetic algorithm (GA) is adopted and applied in the optimal design of air-conditioning water system in this study. A mathematical model and constrained...
Optimal Pairings F. Vercauteren
International Association for Cryptologic Research (IACR)
Optimal Pairings F. Vercauteren Department of Electrical Engineering, Katholieke Universiteit pairing is completely determined by its value on one set of generators of G1, G2: let G1 = P , G2 = Q with the occasional jumps caused by fundamentally new approaches. One line of research is focused on shortening
Optimal Pairings F. Vercauteren #
International Association for Cryptologic Research (IACR)
Optimal Pairings F. Vercauteren # Department of Electrical Engineering, Katholieke Universiteit. Indeed, every pairing is completely determined by its value on one set of generators of G 1 , G 2 : let G improved ef ficiency, interspersed with the occasional jumps caused by fundamentally new approaches. One
Isaac Siwale
2015-03-05
managers typically make investments in large dollar increments, or in round lots of stocks [46]. ..... optimization is usually a two-step procedure that proceeds as follows: given ..... Salukvadze [58] and later independently presented by Yu [76] and Zeleny [77]. ...... To view a copy of this license, visit this page;18 to override.
I. M. Sokolov
2002-07-29
The energetic efficiencies of rocked ratchets reported in the literature typically lie in the sub-percent range. We discuss the problem of optimization of the energetic efficiency of a ratchet, and show that considerably higher efficiencies can be achieved; however this assumes a fine-tuning of the parameters of the system. The domain of parameters corresponding to high efficiencies is typically narrow.
Multiperiod Refinery Planning Optimization
Grossmann, Ignacio E.
;7 Example 1: 5 crudes, 4 weeks Produce fuel gas, regular gasoline, premium gasoline, distillate, fuel oil gasoline, distillate, fuel oil and treated residu Optimal solution ($1000's) Profit 3641.3 Sales 33790 seconds (94% NLP, 6% MIP) #12;8 Example 2: 8 crudes, 6 weeks Produce fuel gas, regular gasoline, premium
Luo Yousong, E-mail: yluo@rmit.edu.a [RMIT University, School of Mathematical and Geospatial Sciences (Australia)
2010-06-15
In this paper we derive a necessary optimality condition for a local optimal solution of some control problems. These optimal control problems are governed by a semi-linear Vettsel boundary value problem of a linear elliptic equation. The control is applied to the state equation via the boundary and a functional of the control together with the solution of the state equation under such a control will be minimized. A constraint on the solution of the state equation is also considered.
Nonlinear Conic Optimization --why and how--
Sidorov, Nikita
Nonlinear Conic Optimization --why and how-- Michal Kocvara School of Mathematics, The University Optimization 1 / 38 #12;Conic optimization "generalized" mathematical optimization problem min f(x) subject optimization, LCO convex convex conic optimization, CCO non-convex non-convex conic optimization, NCO Michal
The quantum systems control and the optimal control theory
V. F. Krotov
2008-05-22
Mathematical theory of the quantum systems control is based on some ideas of the optimal control theory. These ideas are developed here as applied to these systems. The results obtained meet the deficiencies in the basis and algorithms of the control synthesis and expand the application of these methods.
Optimal control of a dengue epidemic model with vaccination
Rodrigues, Helena Sofia; Torres, Delfim F M
2011-01-01
We present a SIR+ASI epidemic model to describe the interaction between human and dengue fever mosquito populations. A control strategy in the form of vaccination, to decrease the number of infected individuals, is used. An optimal control approach is applied in order to find the best way to fight the disease.
Pseudo-Boolean Optimization: Theory and Applications in Vision
Lunds Universitet
- order functions via generalized roof duality and how it can be applied to problems in image analysis in efficient ways of solving the following optimization problem: min xBn f(x), (1) in order to improve approaches is based on the roof duality bound [1], [2]. We generalize the roof duality framework for higher
Optimal Endogenous Carbon Taxes Electric Power Supply Chains with Power Plants
Nagurney, Anna
Optimal Endogenous Carbon Taxes for Electric Power Supply Chains with Power Plants Anna Nagurney for the determination of optimal carbon taxes applied to electric power plants in the con- text of electric power supply portion of such policy inter- ventions directed at the electric power industry. The general framework
Value of information in parameter identification and optimization of hydrocarbon reservoirs
Van den Hof, Paul
Value of information in parameter identification and optimization of hydrocarbon reservoirs E-based optimization and model-parameter identification applied to large-scale models of subsurface hydrocarbon with water injection. The results are compared with previous work on other measures of information valuation
Parameter optimization for the Gaussian model of protein foldingq Albert Erkipa
Seok, Chaok
of protein folding and ligand docking are large and complex. Few systematic methods have yet been developed apply this parameter optimization method to the recently developed Gaussian model of protein folding Science Ltd. All rights reserved. Keywords: Gaussian model; Protein folding; Parameter optimization 1
Ducted Turbine Blade Optimization Using Numerical Simulation Michael Shives and Curran Crawford
Pedersen, Tom
Ducted Turbine Blade Optimization Using Numerical Simulation Michael Shives and Curran Crawford analysis and optimization of ducted turbines. The model is similar to standard blade element momentum. This eliminates many assumptions used in applying the typical blade element momentum (BEM) theory to a turbine
IBM XL Fortran Enterprise Edition V10.1 for AIX Optimization and Programming Guide
Hickman, Mark
IBM XL Fortran Enterprise Edition V10.1 for AIX Optimization and Programming Guide SC09-8010-00 #12;#12;IBM XL Fortran Enterprise Edition V10.1 for AIX Optimization and Programming Guide SC09-8010-00 #12 information under "Notices" on page 263. First Edition (October 2005) This edition applies to IBMÂ® XL Fortran
Reduced Order Constrained Optimization (ROCO):1 Clinical Application to Lung IMRT2
Reduced Order Constrained Optimization (ROCO):1 Clinical Application to Lung IMRT2 Hans Stabenau,1 quickly and automatically for advanced lung cancer patients. Our new ROCO imple- mentation works constrained optimization computationally efficient. Results: We apply ROCO to 12 stage III non-small-cell lung
April 11, 2007 14:27 Optimization final Optimization
Kocvara, Michal
Material Optimization: Recent Progress Michal Kocvara, School of Mathematics, The University of Birmingham) We present a compact overview of the recent development in free material optimization (FMO), a branch of structural optimization. The goal of FMO is to design the ultimately best material (its mechanical properties
Optimization of the Energy Usage at CERN
Burckhart, H J; Caspers, F; Doré, V; Gatignon, L; Martel, C; Nonis, M; Tommasini, D
2013-01-01
Some of the efforts of CERN to optimize its energy usage are presented. Work is proceeding in several areas: campus and infrastructure, accelerators and beam lines, as well as R&D for future accelerators. The existing building stock is being renovated and new buildings apply an integrated energy concept. The energy efficiency of the accelerators and beam lines can be further enhanced by powering more equipment dynamically only during the time it is really needed. For designing new accelerators novel approaches are being investigated to re-use energy which in today’s installations gets dumped thermally.
Nonlinear simulations to optimize magnetic nanoparticle hyperthermia
Reeves, Daniel B. Weaver, John B.
2014-03-10
Magnetic nanoparticle hyperthermia is an attractive emerging cancer treatment, but the acting microscopic energy deposition mechanisms are not well understood and optimization suffers. We describe several approximate forms for the characteristic time of Néel rotations with varying properties and external influences. We then present stochastic simulations that show agreement between the approximate expressions and the micromagnetic model. The simulations show nonlinear imaginary responses and associated relaxational hysteresis due to the field and frequency dependencies of the magnetization. This suggests that efficient heating is possible by matching fields to particles instead of resorting to maximizing the power of the applied magnetic fields.
Global optimization in reduced space
Wechsung, Achim
2014-01-01
Optimization is a key activity in any engineering discipline. Global optimization methods, in particular, strive to solve nonconvex problems, which often arise in chemical engineering, and deterministic algorithms such as ...
Adaptable optimization : theory and algorithms
Caramanis, Constantine (Constantine Michael), 1977-
2006-01-01
Optimization under uncertainty is a central ingredient for analyzing and designing systems with incomplete information. This thesis addresses uncertainty in optimization, in a dynamic framework where information is revealed ...
Multicriteria optimization of the spatial dose distribution
Schlaefer, Alexander; Viulet, Tiberiu; Muacevic, Alexander; Fürweger, Christoph
2013-12-15
Purpose: Treatment planning for radiation therapy involves trade-offs with respect to different clinical goals. Typically, the dose distribution is evaluated based on few statistics and dose–volume histograms. Particularly for stereotactic treatments, the spatial dose distribution represents further criteria, e.g., when considering the gradient between subregions of volumes of interest. The authors have studied how to consider the spatial dose distribution using a multicriteria optimization approach.Methods: The authors have extended a stepwise multicriteria optimization approach to include criteria with respect to the local dose distribution. Based on a three-dimensional visualization of the dose the authors use a software tool allowing interaction with the dose distribution to map objectives with respect to its shape to a constrained optimization problem. Similarly, conflicting criteria are highlighted and the planner decides if and where to relax the shape of the dose distribution.Results: To demonstrate the potential of spatial multicriteria optimization, the tool was applied to a prostate and meningioma case. For the prostate case, local sparing of the rectal wall and shaping of a boost volume are achieved through local relaxations and while maintaining the remaining dose distribution. For the meningioma, target coverage is improved by compromising low dose conformality toward noncritical structures. A comparison of dose–volume histograms illustrates the importance of spatial information for achieving the trade-offs.Conclusions: The results show that it is possible to consider the location of conflicting criteria during treatment planning. Particularly, it is possible to conserve already achieved goals with respect to the dose distribution, to visualize potential trade-offs, and to relax constraints locally. Hence, the proposed approach facilitates a systematic exploration of the optimal shape of the dose distribution.
Methods for PDE-constrained optimization
Reed, Joseph Robert
2011-01-01
constrained optimization . . . . . . . . . . . . . . . 1.4.16.5 Testing the optimization algorithm . . . . . . .6.5.1 The optimization algorithm in PLTMG 6.6 The proposed
Applied Mathematics Conferences and Workshops | U.S. DOE Office...
Office of Science (SC) Website
Applied Mathematics Applied Mathematics Conferences And Workshops Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics...
Theoretical evaluation of the optimal performance of a thermoacoustic refrigerator
Minner, B.L.; Braun, J.E.; Mongeau, L.G.
1997-12-31
Theoretical models were integrated with a design optimization tool to allow estimates of the maximum coefficient of performance for thermoacoustic cooling systems. The system model was validated using experimental results for a well-documented prototype. The optimization tool was then applied to this prototype to demonstrate the benefits of systematic optimization. A twofold increase in performance was predicted through the variation of component dimensions alone, while a threefold improvement was estimated when the working fluid parameters were also considered. Devices with a similar configuration were optimized for operating requirements representative of a home refrigerator. The results indicate that the coefficients of performance are comparable to those of existing vapor-compression equipment for this application. In addition to the choice of working fluid, the heat exchanger configuration was found to be a critical design factor affecting performance. Further experimental work is needed to confirm the theoretical predictions presented in this paper.
Method for Determining Optimal Residential Energy Efficiency Retrofit Packages
Polly, B.; Gestwick, M.; Bianchi, M.; Anderson, R.; Horowitz, S.; Christensen, C.; Judkoff, R.
2011-04-01
Businesses, government agencies, consumers, policy makers, and utilities currently have limited access to occupant-, building-, and location-specific recommendations for optimal energy retrofit packages, as defined by estimated costs and energy savings. This report describes an analysis method for determining optimal residential energy efficiency retrofit packages and, as an illustrative example, applies the analysis method to a 1960s-era home in eight U.S. cities covering a range of International Energy Conservation Code (IECC) climate regions. The method uses an optimization scheme that considers average energy use (determined from building energy simulations) and equivalent annual cost to recommend optimal retrofit packages specific to the building, occupants, and location. Energy savings and incremental costs are calculated relative to a minimum upgrade reference scenario, which accounts for efficiency upgrades that would occur in the absence of a retrofit because of equipment wear-out and replacement with current minimum standards.
Optimization Online Digest -- May 2015
Optimization Online Digest — May 2015. Applications — OR and Management Sciences Mathematical Models for Multi Container Loading Problems
Optimization Online Digest -- August 2015
Optimization Online Digest — August 2015. Applications — OR and Management Sciences Mixed Integer Second-Order Cone Programming for the Horizontal ...
Optimization Online Digest -- September 2015
Optimization Online Digest — September 2015. Applications — OR and Management Sciences An Improved MIP Formulation for the Unit Commitment Problem
Optimization Online Digest -- January 2015
Optimization Online Digest — January 2015. Applications — OR and Management Sciences The Continuous Time Service Network Design Problem Natashia ...
Optimization Online Digest -- June 2013
Optimization Techniques for the Brazilian Natural Gas Network Planning Problem ... of Multiple Underwater Vehicles under Acoustic Communication Constraints
Optimization Online Digest -- December 2004
Magnetic Resonance Tissue Density Estimation using Optimal SSFP Pulse- Sequence Design Christopher Anand ... Gun Srijuntongsiri, Stephen Vavasis
International combustion engines; Applied thermosciences
Ferguson, C.R.
1985-01-01
Focusing on thermodynamic analysis - from the requisite first law to more sophisticated applications - and engine design, this book is an introduction to internal combustion engines and their mechanics. It covers the many types of internal combustion engines, including spark ignition, compression ignition, and stratified charge engines, and examines processes, keeping equations of state simple by assuming constant specific heats. Equations are limited to heat engines and later applied to combustion engines. Topics include realistic equations of state, stroichiometry, predictions of chemical equilibrium, engine performance criteria, and friction, which is discussed in terms of the hydrodynamic theory of lubrication and experimental methods such as dimensional analysis.
ORISE: Applied health physics projects
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEY UNIVERSE The 2014 surveyNuclearHow toContactUndergraduateApplied
Sandia Energy - Applied Turbulent Combustion
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumni >ScientificApplied Turbulent Combustion Home
Adaptation, Learning, and Optimization over
California at Los Angeles, University of
Adaptation, Learning, and Optimization over Networks Ali H. Sayed University of California at Los 2014 A. H. Sayed DOI: 10.1561/2200000051 Adaptation, Learning, and Optimization over Networks Ali H . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.6 Notation and Symbols . . . . . . . . . . . . . . . . . . . . 8 2 Optimization by Single Agents
Optimal Control Theory for Continuous Variable Quantum Gates
Rebing Wu; Raj Chakrabarti; Herschel Rabitz
2007-08-16
We apply the methodology of optimal control theory to the problem of implementing quantum gates in continuous variable systems with quadratic Hamiltonians. We demonstrate that it is possible to define a fidelity measure for continuous variable (CV) gate optimization that is devoid of traps, such that the search for optimal control fields using local algorithms will not be hindered. The optimal control of several quantum computing gates, as well as that of algorithms composed of these primitives, is investigated using several typical physical models and compared for discrete and continuous quantum systems. Numerical simulations indicate that the optimization of generic CV quantum gates is inherently more expensive than that of generic discrete variable quantum gates, and that the exact-time controllability of CV systems plays an important role in determining the maximum achievable gate fidelity. The resulting optimal control fields typically display more complicated Fourier spectra that suggest a richer variety of possible control mechanisms. Moreover, the ability to control interactions between qunits is important for delimiting the total control fluence. The comparative ability of current experimental protocols to implement such time-dependent controls may help determine which physical incarnations of CV quantum information processing will be the easiest to implement with optimal fidelity.
Optimizing Power Factor Correction
Phillips, R. K.; Burmeister, L. C.
1986-01-01
FACTOR CORRECTION Robert K. Phillips and Louis C. Burmeister, Mechanical Engineering, University of Kansas, Lawrence, KS The optimal investment for power factor correcting capacitors for Kansas Power and Light Company large power contract customers... consumer of electricity were made for demands of 200, 400, 800, 1,600, 3,200, and 6,400 k\\~ and monthly energy consumption periods of 100, 150, 200, 300, 400, and 500 hours for several capacitor purchase and installation costs. The results...
HOMER® Micropower Optimization Model
Lilienthal, P.
2005-01-01
NREL has developed the HOMER micropower optimization model. The model can analyze all of the available small power technologies individually and in hybrid configurations to identify least-cost solutions to energy requirements. This capability is valuable to a diverse set of energy professionals and applications. NREL has actively supported its growing user base and developed training programs around the model. These activities are helping to grow the global market for solar technologies.
Apply to Mathematics Graduate Program - - Purdue University
$author.value
College of Science · Department of ... The GRE Math Subject Test should also be taken to optimize your chance of admission. You must upload to the online ...
Global-local Structural Optimization Using Response Surfaces of Local Optimization Margins
Neumaier, Arnold
1 Global-local Structural Optimization Using Response Surfaces of Local Optimization Margins Boyang optimization problems. First, a large number of component optimizations for maximization of margins are performed. Response surface approximations (RSA) for maximum margins of component optimization
At the Intersection of Applied Formal Methods
Zimmerman, Daniel M.
of Technology University of Washington Tacoma NTU Graduate Seminar, - 7 January 2011 #12;Outline · Applied
Building Reliable Software Applied Formal Methods
Zimmerman, Daniel M.
Institute of Technology University of Washington Tacoma #12;Outline · Applied Formal Methods · Correctness
Theory for the optimal control of time-averaged quantities in open quantum systems
Ilia Grigorenko; Martin E. Garcia; K. H. Bennemann
2002-03-25
We present variational theory for optimal control over a finite time interval in quantum systems with relaxation. The corresponding Euler-Lagrange equations determining the optimal control field are derived. In our theory the optimal control field fulfills a high order differential equation, which we solve analytically for some limiting cases. We determine quantitatively how relaxation effects limit the control of the system. The theory is applied to open two level quantum systems. An approximate analytical solution for the level occupations in terms of the applied fields is presented. Different other applications are discussed.
Nested Column Generation applied to the Crude Oil Tanker Routing and Scheduling Problem with
Lübbecke, Marco
Nested Column Generation applied to the Crude Oil Tanker Routing and Scheduling Problem with Split, Germany March 7, 2012 Abstract The split pickup split delivery crude oil tanker routing and scheduling, because of the large expenses in crude oil shipping it is attractive to make use of optimization
Menut, Laurent
Inverse modeling of surface emissions for local pollution: A new methodology applied to academic; (2) LISA Creteil France Needs: Optimize surface emissions using daily recorded ozone and NOX by PRIMEQUAL2, program of the french ministry of environment Firstguess emissions inventory for the Paris
Optimal design with probabilistic objective and constraints
Royset, J O; Kiureghian, A D; Polak, E
2006-01-01
Optimal design of reinforced concreteopti- mal structural design under uncertainty. ” EarthquakeReliability-based optimal design of series structural
Reservoir-Stimulation Optimization with Operational Monitoring...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Optimization with Operational Monitoring for Creation of Enhanced Geothermal Systems Reservoir-Stimulation Optimization with Operational Monitoring for Creation...
SCR Performance Optimization Through Advancements in Aftertreatment...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Performance Optimization Through Advancements in Aftertreatment Packaging SCR Performance Optimization Through Advancements in Aftertreatment Packaging The impact of improved urea...
Digital Alchemy for Materials Design and Optimization
Greg van Anders; Daphne Klotsa; Andrew S. Karas; Paul M. Dodd; Sharon C. Glotzer
2015-07-17
Starting with the early alchemists, a holy grail of science has been to make desired materials by modifying the attributes of basic building blocks. Building blocks that show promise for assembling new complex materials can be synthesized at the nanoscale with attributes that would astonish the ancient alchemists in their versatility. However, this versatility means that making direct connection between building block attributes and bulk behavior is both necessary for rationally engineering materials, and difficult because building block attributes can be altered in many ways. Here we show how to exploit the malleability of the valence of colloidal nanoparticle "elements" to directly and quantitatively link building block attributes to bulk behavior through a statistical thermodynamic framework we term "digital alchemy". We use this framework to optimize building blocks for a given target structure, and to determine which building block attributes are most important to control for self assembly, through a set of novel thermodynamic response functions, moduli and susceptibilities. We thereby establish direct links between the attributes of colloidal building blocks and the bulk structures they form. Moreover, our results give concrete solutions to the more general conceptual challenge of optimizing emergent behaviors in nature, and can be applied to other types of matter. As examples, we apply digital alchemy to systems of truncated tetrahedra, rhombic dodecahedra, and isotropically interacting spheres that self assemble diamond, FCC, and icosahedral quasicrystal structures, respectively.
Convex Optimization: from Real-Time Embedded
Convex Optimization: from Real-Time Embedded to Large-Scale Distributed Stephen Boyd Neal Parikh Lectures, UC Berkeley, 3/30/2015 1 #12;Outline Convex Optimization Real-Time Embedded Optimization Large-Scale Distributed Optimization Summary 2 #12;Outline Convex Optimization Real-Time Embedded Optimization Large
Convex Optimization: from Real-Time Embedded
Hall, Julian
Convex Optimization: from Real-Time Embedded to Large-Scale Distributed Stephen Boyd Neal Parikh of Edinburgh, June 25 2014 1 #12;Outline Convex Optimization Real-Time Embedded Optimization Large-Scale Distributed Optimization Summary 2 #12;Outline Convex Optimization Real-Time Embedded Optimization Large
Optimal irreversible stimulated emission
D Valente; Y Li; J P Poizat; J M Gerard; L C Kwek; M F Santos; A Auffeves
2012-08-28
We studied the dynamics of an initially inverted atom in a semi-infinite waveguide, in the presence of a single propagating photon. We show that atomic relaxation is enhanced by a factor of 2, leading to maximal bunching in the output field. This optimal irreversible stimulated emission is a novel phenomenon that can be observed with state-of-the-art solid-state atoms and waveguides. When the atom interacts with two one-dimensional electromagnetic environments, the preferential emission in the stimulated field can be exploited to efficiently amplify a classical or a quantum state.
Aegerter, R.
2004-01-01
and Cost The ultimate goal in optimizing the steam system is to minimize the steam generation costs. Most projects are dependent on the steam balance and can only be justified if low-pressure steam is being vented or if steam is being let down. Some... savings can be quantified. Steam Venting or Letting Down? Typically a plant will be either venting excess low-pressure steam or letting down steam to meet the low-pressure steam demand. If a plant has multiple operating units, it is possible...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATIONIntroducing theActivation byIs aItemPolar ProjectOptimization
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEYI/OPerformance and Debugging Tools Performance andOptimization
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEYI/OPerformance and Debugging Tools PerformanceOptimization
Knezev, Maja
2009-05-15
Basic goal of power system is to continuously provide electrical energy to the users. Like with any other system, failures in power system can occur. In those situations it is critical that correct remedial actions are applied as soon as possible...
Optimization Online - Robust Energy Cost Optimization of Water ...
Alexander Goryashko
2011-02-21
Feb 21, 2011 ... Robust Energy Cost Optimization of Water Distribution System with Uncertain Demand. Alexander Goryashko(ale_gory ***at*** rambler.ru)
Optimization Online - Robust nonlinear optimization via the dual
Apr 29, 2015 ... Robust nonlinear optimization via the dual. Bram L Gorissen(b.l.gorissen ***at*** tilburguniversity.edu) Dick Den Hertog(d.denhertog ***at*** ...
Optimization Online - Optimal management and sizing of energy ...
Pavithra Harsha
2012-07-30
Jul 30, 2012 ... Optimal management and sizing of energy storage under dynamic pricing for the efficient integration of renewable energy. Pavithra Harsha ...
Optimal generation of Fock states in a weakly nonlinear oscillator
B. Khani; J. M. Gambetta; F. Motzoi; F. K. Wilhelm
2009-09-25
We apply optimal control theory to determine the shortest time in which an energy eigenstate of a weakly anharmonic oscillator can be created under the practical constraint of linear driving. We show that the optimal pulses are beatings of mostly the transition frequencies for the transitions up to the desired state and the next leakage level. The time of a shortest possible pulse for a given nonlinearity scale with the nonlinearity parameter delta as a power law of alpha with alpha=-0.73 +/-0.029. This is a qualitative improvement relative to the value alpha=1 suggested by a simple Landau-Zener argument.
Stanley Bower
2011-12-31
A 5.0L V8 twin-turbocharged direct injection engine was designed, built, and tested for the purpose of assessing the fuel economy and performance in the F-Series pickup of the Dual Fuel engine concept and of an E85 optimized FFV engine. Additionally, production 3.5L gasoline turbocharged direct injection (GTDI) â??EcoBoostâ? engines were converted to Dual Fuel capability and used to evaluate the cold start emissions and fuel system robustness of the Dual Fuel engine concept. Project objectives were: to develop a roadmap to demonstrate a minimized fuel economy penalty for an F-Series FFV truck with a highly boosted, high compression ratio spark ignition engine optimized to run with ethanol fuel blends up to E85; to reduce FTP 75 energy consumption by 15% - 20% compared to an equally powered vehicle with a current production gasoline engine; and to meet ULEV emissions, with a stretch target of ULEV II / Tier II Bin 4. All project objectives were met or exceeded.
CX-007571: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Pulaski County - Wastewater CX(s) Applied: B5.1 Date: 12/29/2011 Location(s): Missouri Offices(s): Golden Field Office
CX-007596: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Ohio Advanced Transportation Partnership CX(s) Applied: B5.23 Date: 01/25/2012 Location(s): Ohio Offices(s): National Energy Technology Laboratory
CX-012729: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Hydrogen Sulfide Scavenger BOA (Multiple) CX(s) Applied: B5.2Date: 41880 Location(s): LouisianaOffices(s): Strategic Petroleum Reserve Field Office
CX-008588: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
St. Petersburg Solar Pilot Project CX(s) Applied: B5.1 Date: 07/19/2012 Location(s): Florida Offices(s): Golden Field Office
CX-008684: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Metaline Radio Station Upgrade Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Washington Offices(s): Bonneville Power Administration
CX-010148: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Merritt Radio Station Upgrade CX(s) Applied: B1.19 Date: 04/18/2013 Location(s): Washington Offices(s): Bonneville Power Administration
CX-008706: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Tunk Mountain Radio Station Upgrade CX(s) Applied: B1.19 Date: 05/30/2012 Location(s): Washington Offices(s): Bonneville Power Administration
CX-012716: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
General Scientific Infrastructure Support for University of Wisconsin CX(s) Applied: B1.31Date: 41844 Location(s): WisconsinOffices(s): Nuclear Energy
CX-008543: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Colorado State Energy Plan 2012 CX(s) Applied: A9, A11 Date: 06/25/2012 Location(s): Colorado Offices(s): Golden Field Office
CX-012333: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Support Buildings CX(s) Applied: B1.15 Date: 06/03/2014 Location(s): Washington Offices(s): River Protection-Richland Operations Office
CX-011165: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Heavy Mineral Separation CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office
CX-012817: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Bell Maintenance Headquarters Access Road Maintenance CX(s) Applied: B1.3Date: 41890 Location(s): WashingtonOffices(s): Bonneville Power Administration
CX-006225: Categorical Exclusion Determination | Department of...
Broader source: Energy.gov (indexed) [DOE]
Infrastructure Upgrades - Materials and Fuel Complex (MFC)- Irradiated Materials Characterization Laboratory (IMCL) CX(s) Applied: B3.6 Date: 06072011 Location(s): Idaho Falls,...
CX-010791: Categorical Exclusion Determination | Department of...
Exclusion Determination Gulf of Mexico Miocene Carbon Dioxide (CO2) Site Characterization Mega Transect CX(s) Applied: A9, A11 Date: 08142013 Location(s): Texas...
Categorical Exclusion Determinations: Science | Department of...
Broader source: Energy.gov (indexed) [DOE]
Determination Establishment of an Easement for Enhanced Electrical Service to the Computational Sciences Facility CX(s) Applied: B1.7 Date: 08302011 Location(s):...
CX-011634: Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Closure Turf Installation CX(s) Applied: B6.1 Date: 08/27/2013 Location(s): Texas Offices(s): Pantex Site Office
CX-008993: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
CX-008993: Categorical Exclusion Determination "Continuous Processing of High Thermal Conductivity Polyethylene Fibers and Sheets CX(s) Applied: A9, B3.6 Date: 0822...
CX-012776: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Catalyst Processing, KCP14-05 CX(s) Applied: NOT NOTEDDate: 41857 Location(s): MissouriOffices(s): Kansas City Site Office
CX-008146: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Advanced Formation Evaluator Tools (Haliburton) CX(s) Applied: B3.7 Date: 09/11/2011 Location(s): Wyoming Offices(s): RMOTC
CX-004095: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Exclusion Determination CX-004095: Categorical Exclusion Determination Thermal Transport Properties of Nanostructured Materials for Energy Conversion CX(s) Applied: B3.6 Date: 09...
CX-008144: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Planned Repair of Flow Lines CX(s) Applied: B5.4 Date: 08/09/2011 Location(s): Wyoming Offices(s): RMOTC
CX-012730: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Replace West Hackberry Radio Tower CX(s) Applied: B1.19Date: 41880 Location(s): LouisianaOffices(s): Strategic Petroleum Reserve Field Office
CX-011069: Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Induction Furnace Melting CX(s) Applied: B3.6 Date: 08/29/2013 Location(s): Oregon Offices(s): National Energy Technology Laboratory
CX-010057: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Eugene Substation Protective Relay Installation CX(s) Applied: B1.7 Date: 01/29/2013 Location(s): Oregon Offices(s): Bonneville Power Administration
CX-011214: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Sensitive Instrument Facility CX(s) Applied: B3.6 Date: 07/10/2013 Location(s): Iowa Offices(s): Ames Site Office
CX-012795: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
North Bonneville Substation 23- Kilovolt Line Retermination CX(s) Applied: B4.11Date: 41926 Location(s): WashingtonOffices(s): Bonneville Power Administration
CX-010618: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Midwest Region Alternative Fuels Project CX(s) Applied: 0 Date: 07/19/2013 Location(s): Missouri Offices(s): National Energy Technology Laboratory
CX-012789: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Building 440 CNM Clean Room Expansion CX(s) Applied: B3.15Date: 41906 Location(s): IllinoisOffices(s): Argonne Site Office
CX-008438: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 06/27/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory
CX-008282: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 05/01/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory
Categorical Exclusion Determinations: Western Area PowerAdministratio...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Center October 26, 2009 CX-005544: Categorical Exclusion Determination Power Rate Formula for the Provo River Project of the Western Area Power Administration CX(s) Applied:...
CX-012311: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Accelerator Test Facility II CX(s) Applied: B3.10 Date: 05/28/2014 Location(s): New York Offices(s): Brookhaven Site Office
CX-008799: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Jack Case Showers Projects CX(s) Applied: B1.3 Date: 06/04/2012 Location(s): Tennessee Offices(s): Y-12 Site Office
CX-010763: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
CX-010763: Categorical Exclusion Determination Nevada Desert Research Institute- Photovoltaic Installation CX(s) Applied: B5.16 Date: 07172013 Location(s): Nevada Offices(s):...
CX-012254: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Hydro Research Foundation University Research Awards - Vanderbilt CX(s) Applied: A9 Date: 05/28/2014 Location(s): Tennessee Offices(s): Golden Field Office
CX-012253: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Hydro Research Foundation University Research Awards - OSU CX(s) Applied: A9 Date: 05/27/2014 Location(s): Oregon Offices(s): Golden Field Office
CX-004351: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
4351: Categorical Exclusion Determination CX-004351: Categorical Exclusion Determination Center for Development of Math, Science and Technology CX(s) Applied: B1.15 Date: 1029...
CX-003959: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
59: Categorical Exclusion Determination CX-003959: Categorical Exclusion Determination Federal Bureau of Investigation Radiological Dispersion Device Training CX(s) Applied: B1.2...
CX-010689: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office
CX-005987: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
87: Categorical Exclusion Determination CX-005987: Categorical Exclusion Determination Stion Corporation - Superstrate Device for High Efficiency Tandem Modules CX(s) Applied: A9,...
Categorical Exclusion (CX) Determinations By Date | Department...
Office of Environmental Management (EM)
(CX) Determinations By Date Categorical Exclusion (CX) Determinations By Date August 25, 2015 CX-012469: Categorical Exclusion Determination Gas Analysis Services CX(s) Applied:...
CX-100022: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
CX-100022: Categorical Exclusion Determination CX-100022: Categorical Exclusion Determination EERE Demonstration for Advanced Retro-Commissioning Technology CX(s) Applied: A9,...
CX-001378: Categorical Exclusion Determination | Department of...
Office of Environmental Management (EM)
378: Categorical Exclusion Determination CX-001378: Categorical Exclusion Determination Wackenhut Services, Incorporated Training Facility CX(s) Applied: B1.2 Date: 10282009...
CX-012664: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
SBIR/STTR Phase 0 Outreach and Assistance Program CX(s) Applied: A8Date: 41844 Location(s): IllinoisOffices(s): Chicago Office
CX-007826: Categorical Exclusion Determination | Department of...
007826: Categorical Exclusion Determination CX-007826: Categorical Exclusion Determination "Crittenden City Facilities Re-Roofing CX(s) Applied: B5.1 Date: 01312012 Location(s):...
CX-012433: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Computer Simulation and Prototype Construction and Testing CX(s) Applied: A9Date: 41878 Location(s): GeorgiaOffices(s): National Energy Technology Laboratory
CX-000310: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
0: Categorical Exclusion Determination CX-000310: Categorical Exclusion Determination New Jersey Revision 1 - Energy Efficiency Upgrades for State Buildings CX(s) Applied: A9, A11,...
CX-009923: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
CX-009923: Categorical Exclusion Determination CX-009923: Categorical Exclusion Determination Project Icebreaker CX(s) Applied: A9, B3.1 Date: 01072013 Location(s): Ohio...
CX-007056: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
7056: Categorical Exclusion Determination CX-007056: Categorical Exclusion Determination Interstate Electrification Improvement CX(s) Applied: B5.1 Date: 09192011 Location(s):...
CX-100290 Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
0 Categorical Exclusion Determination CX-100290 Categorical Exclusion Determination Location, Location, Efficiency (Milwaukee, WI) Award Number: DE-EE0007069 CX(s) Applied: A9,...
CX-003197: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
7: Categorical Exclusion Determination CX-003197: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Systems for Utility Power Generation CX(s) Applied:...
CX-007370: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
370: Categorical Exclusion Determination CX-007370: Categorical Exclusion Determination Idaho-TRIBE-SHOSHONE-BANNOCK TRIBE OF THE FORT HALL RESERVATION OF IDAHO CX(s) Applied:...
CX-008534: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Peter Wentz Geothermal CX(s) Applied: B5.19 Date: 05/23/2012 Location(s): Pennsylvania Offices(s): Golden Field Office
CX-008204: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Energize Missouri HUG Finch CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office
CX-008203: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Energize Missouri HUG Demoret CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office
CX-009442: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Cutters Grove, Anoka CX(s) Applied: A9, B5.19 Date: 07/31/2012 Location(s): Minnesota Offices(s): Golden Field Office
CX-007836: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Building Retrofits CX(s) Applied: B5.19 Date: 01/30/2012 Location(s): Illinois Offices(s): Energy Efficiency and Renewable Energy
CX-008241: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Energize Missouri HUG Teter CX(s) Applied: B5.19 Date: 05/15/2012 Location(s): Missouri Offices(s): Golden Field Office
CX-008205: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Energize Missouri HUG Weaver CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office
CX-012097: Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Microgrid Demonstration Project CX(s) Applied: B5.15 Date: 03/24/2014 Location(s): Idaho Offices(s): Idaho Operations Office
CX-002327: Categorical Exclusion Determination | Department of...
Office of Environmental Management (EM)
Determination Central Facility Area and Advanced Test Reactor-Complex Analytical and Research and Development Laboratory Operation (Overarching) CX(s) Applied: B3.6 Date: 05...
CX-005162: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
5162: Categorical Exclusion Determination CX-005162: Categorical Exclusion Determination Green Chemistry - CEAM Phase 3 - Working Bug LLC CX(s) Applied: B5.1 Date: 02082011...
CX-008545: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Solar Energy Evolution and Diffusion Studies CX(s) Applied: A9 Date: 06/19/2012 Location(s): CX: none Offices(s): Golden Field Office
CX-012200: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management
CX-100081: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Exclusion Determination CX-100081: Categorical Exclusion Determination Harnessing the Hydro-Electric Potential of Engineered Drops Award Number: DE-EE0005428 CX(s) Applied:...
CX-012122: Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
OCGen Module Mooring Project CX(s) Applied: B5.25 Date: 04/29/2014 Location(s): Maine Offices(s): Golden Field Office
CX-006209: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Determination Missouri Independent Energy Efficiency Program: Anheuser-Busch - Brewery Energy Efficiency Retrofits CX(s) Applied: B5.1 Date: 07012011 Location(s): Saitn...
CX-010109: Categorical Exclusion Determination | Department of...
Office of Environmental Management (EM)
09: Categorical Exclusion Determination CX-010109: Categorical Exclusion Determination Curecanti-Poncha 230 Kilovolt Transmission Line Cross Bar Ranch Project CX(s) Applied: B1.3...
CX-008683: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Shaniko Radio Station Replacement Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Oregon Offices(s): Bonneville Power Administration
CX-009698: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Sale of Lakeside Radio Station CX(s) Applied: B1.24 Date: 12/27/2012 Location(s): Oregon Offices(s): Bonneville Power Administration
CX-012231: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Mica Peak Radio Station upgrade CX(s) Applied: B1.19 Date: 06/09/2014 Location(s): Washington Offices(s): Bonneville Power Administration
CX-011190: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Alberton Communication Site Construction CX(s) Applied: B1.19 Date: 08/26/2013 Location(s): Montana Offices(s): Bonneville Power Administration
CX-010155: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Augspurger Radio Tower Replacement Project CX(s) Applied: B1.19 Date: 04/03/2013 Location(s): Washington Offices(s): Bonneville Power Administration
CX-011401: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Minto Lodge Rehabilitation CX(s) Applied: B5.1 Date: 11/19/2013 Location(s): Alaska Offices(s): Golden Field Office
CX-010237: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Pittsburgh Green Innovators Synergy Center CX(s) Applied: A9 Date: 02/28/2013 Location(s): Pennsylvania Offices(s): Golden Field Office
CX-008973: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Petrography Laboratory CX(s) Applied: B3.6 Date: 08/01/2012 Location(s): West Virginia Offices(s): National Energy Technology Laboratory
CX-010730: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Paisley Geothermal Integration CX(s) Applied: B1.7 Date: 08/09/2013 Location(s): Oregon Offices(s): Bonneville Power Administration
CX-008161: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Prosser Hatchery Backup Generator Replacement CX(s) Applied: B1.31 Date: 04/16/2012 Location(s): Washington Offices(s): Bonneville Power Administration
CX-008700: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Natapoc Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration
CX-012788: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Bio-Aviation Fuel LCA with GREET CX(s) Applied: B5.15Date: 41906 Location(s): IllinoisOffices(s): Argonne Site Office
CX-012718: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Idaho State University Reactor Laboratory Modernization CX(s) Applied: B1.31Date: 41844 Location(s): IdahoOffices(s): Nuclear Energy
CX-012189: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Microbial Laboratory Analysis CX(s) Applied: B3.12 Date: 05/06/2014 Location(s): Illinois Offices(s): Argonne Site Office
CX-012317: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
High Performance Computing Upgrades CX(s) Applied: B1.31 Date: 06/16/2014 Location(s): Idaho Offices(s): Nuclear Energy
CX-012725: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Materials and Fuel Complex (MFC)-782 Fire Sprinkler Installation CX(s) Applied: B2.2Date: 41829 Location(s): IdahoOffices(s): Nuclear Energy
CX-010515: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Energy Efficiency Public Service Campaign CX(s) Applied: A9 Date: 06/14/2013 Location(s): New York Offices(s): Golden Field Office
CX-007856: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Sacramento Regional Energy Alliance CX(s) Applied: B5.23 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office
CX-007858: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Southwest Solar Transformation Initiative CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office
CX-008250: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Geotechnical Core Drilling for USGS 138 CX(s) Applied: B3.1 Date: 04/18/2012 Location(s): Idaho Offices(s): Nuclear Energy
CX-012110: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Cowlitz Falls Fish Facility Access Agreement Extension CX(s) Applied: A2 Date: 04/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration
CX-009398: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Domestic Source Recovery CX(s) Applied: B2.6 Date: 11/01/2012 Location(s): New Mexico Offices(s): Los Alamos Site Office
CX-012705: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Materials and Fuels Complex (MFC)-703 Fire Alarm Replacement CX(s) Applied: B2.2Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy
CX-011250: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Determination Transforming Photovoltaic Installations Toward Dispatchable, Schedulable Energy Solutions CX(s) Applied: B3.6, B5.15 Date: 10172013 Location(s): Oregon...
CX-005950: Categorical Exclusion Determination | Department of...
Determination Wisconsin Clean Transportation Partnership: Riteway Bus Services Propane Fueling Infrastructure CX(s) Applied: B5.1 Date: 06012011 Location(s): Oak Creek,...
CX-006893: Categorical Exclusion Determination | Department of...
Exclusion Determination Ohio Advanced Transportation PartnershipFrito Lay Columbus Propane Fueling Infrastructure CX(s) Applied: B5.1 Date: 09282011 Location(s): Columbus,...
CX-008535: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
King County Biogas and Nutrient Reduction CX(s) Applied: A9 Date: 05/22/2012 Location(s): Washington Offices(s): Golden Field Office
CX-011110: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Advancements in Algal Biomass Yield CX(s) Applied: A9 Date: 08/29/2013 Location(s): Hawaii Offices(s): Golden Field Office
CX-010343: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Bald Hill Farms Property Funding CX(s) Applied: B1.25 Date: 05/10/2013 Location(s): Oregon Offices(s): Bonneville Power Administration
CX-011630: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
9831 Wall Construction Project CX(s) Applied: B1.3 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office
CX-012816: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Rogue-Gold Beach Access Road Improvement CX(s) Applied: B1.3Date: 41890 Location(s): OregonOffices(s): Bonneville Power Administration
CX-011177: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Hebo Substation Access Road Maintenance CX(s) Applied: B1.3 Date: 09/13/2013 Location(s): Oregon Offices(s): Bonneville Power Administration
CX-011184: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Salmon Creek Pond Property Funding CX(s) Applied: B1.25 Date: 08/29/2013 Location(s): Washington Offices(s): Bonneville Power Administration
CX-008698: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Poorman Ponds Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration
CX-009630: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
ICP Routine Maintenance CX(s) Applied: B1.3 Date: 11/06/2012 Location(s): Idaho Offices(s): Idaho Operations Office
CX-009632: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
INTEC – Suspect RH-TRU (AMWTP) CX(s) Applied: NO CX GIVEN Date: 11/23/2012 Location(s): Idaho Offices(s): Idaho Operations Office
CX-012722: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Test Reactor Area (TRA)-653 Conference Room Modifications CX(s) Applied: B1.15Date: 41829 Location(s): IdahoOffices(s): Nuclear Energy
CX-011564: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Excess Facilities Deactivation and Demolition CX(s) Applied: B1.23 Date: 11/05/2013 Location(s): Idaho Offices(s): Idaho Operations Office
CX-009753: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Propane Corridor Development Program CX(s) Applied: B5.22 Date: 12/06/2012 Location(s): Georgia Offices(s): National Energy Technology Laboratory
CX-012482: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Mid-Atlantic Regional Infrastructure Development Project CX(s) Applied: B5.22Date: 41862 Location(s): MarylandOffices(s): National Energy Technology Laboratory
CX-012002: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Raver-Covington Conductor Replacement CX(s) Applied: B1.3 Date: 04/24/2014 Location(s): Washington Offices(s): Bonneville Power Administration
CX-010772: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Water Security Test Bed (WSTB) CX(s) Applied: B3.6 Date: 07/17/2013 Location(s): Idaho Offices(s): Nuclear Energy
CX-100159 Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Proposed Rulemaking for Energy Conservation Standards for Commercial and Industrial Pumps RIN: 1904-AC54 CX(s) Applied: B5.1
CX-100160 Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Proposed Rulemaking for Energy Conservation Standards for Residential Dehumidifiers RIN: 1904-AC81 CX(s) Applied: B5.1
CX-012706: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Radiochemistry Laboratory (RCL) Supply Intake Filter Housing CX(s) Applied: B2.5Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy
CX-009295: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Energy Regional Innovation Cluster CX(s) Applied: B3.6 Date: 09/05/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory
CX-003226: Categorical Exclusion Determination | Department of...
Exclusion Determination Parris Island Wind Resource Assessment; National Renewable Energy Laboratory Tracking Number 10-032 CX(s) Applied: A9, B3.1 Date: 08042010...
CX-010258: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Bangladesh Meteorological Instrumentation Installation CX(s) Applied: A9 Date: 04/26/2013 Location(s): Colorado Offices(s): Golden Field Office
CX-008803: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Milling Machine Replacement Projects CX(s) Applied: B1.31 Date: 05/14/2012 Location(s): Tennessee Offices(s): Y-12 Site Office
CX-002355: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Categorical Exclusion Determination CX-002355: Categorical Exclusion Determination Kansas City Power and Light (KCP&L) Green Impact Zone Smart Grid Demonstration CX(s) Applied:...
CX-010113: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Compression Stress Relaxometer CX(s) Applied: B3.6 Date: 03/28/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office
CX-012434: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Low Cost Titanium Casting Technology CX(s) Applied: B3.6Date: 41878 Location(s): OhioOffices(s): National Energy Technology Laboratory
CX-009587: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
City of Houston, Texas CX(s) Applied: B5.1 Date: 12/12/2012 Location(s): Texas Offices(s): Golden Field Office
CX-010261: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Nevada State Energy Program Formula CX(s) Applied: B5.16 Date: 04/26/2013 Location(s): Nevada Offices(s): Golden Field Office
CX-009635: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
INTEC – U-233 Waste Stream Disposition CX(s) Applied: NO CX GIVEN Date: 12/15/2012 Location(s): Idaho Offices(s): Idaho Operations Office
CX-009019: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Determination CX-009019: Categorical Exclusion Determination "Catalyst-Assisted Manufacture of Olefins from Natural Gas Liquids: Prototype Development CX(s) Applied: A9, B3.6...
CX-011625: Categorical Exclusion Determinationc
Broader source: Energy.gov [DOE]
9103 Second Floor Refurbishment CX(s) Applied: B1.3 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office
CX-008609: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Vermont State Energy Program CX(s) Applied: A9, A11 Date: 07/03/2012 Location(s): Vermont Offices(s): Golden Field Office
CX-012790: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Haystack Butte Radio Site Land Acquisition CX(s) Applied: B1.24Date: 41939 Location(s): WashingtonOffices(s): Bonneville Power Administration
CX-004247: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Exclusion Determination CX-004247: Categorical Exclusion Determination Carolina Blue Skies Initiative CX(s) Applied: A1, B5.1 Date: 10142010 Location(s): Indian Trail,...
CX-012655: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Acquisition of Access Road Easements CX(s) Applied: B1.24Date: 41849 Location(s): WashingtonOffices(s): Bonneville Power Administration
CX-012809: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
LURR 20140313 City of Vancouver Sewer Lateral CX(s) Applied: B4.9Date: 41906 Location(s): WashingtonOffices(s): Bonneville Power Administration
CX-012651: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
LURR20140464 - Spencer May - Fence Construction CX(s) Applied: B4.9Date: 41858 Location(s): WashingtonOffices(s): Bonneville Power Administration
CX-012632: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
LURR 20140456 - Salmon Creek Avenue Pathway Project CX(s) Applied: B4.9Date: 41885 Location(s): WashingtonOffices(s): Bonneville Power Administration
CX-012808: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
LURR 20140504 Ross Substation Comcast Fiber Installation CX(s) Applied: B4.9Date: 41906 Location(s): WashingtonOffices(s): Bonneville Power Administration
CX-012637: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
LURR 20140521 - David King - Sewer Line Installation CX(s) Applied: B4.9Date: 41876 Location(s): OregonOffices(s): Bonneville Power Administration
CX-010398: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Power Line Configuration CX(s) Applied: B4.13 Date: 04/25/2013 Location(s): Idaho Offices(s): Idaho Operations Office
CX-010091: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Power Line Configuration 2013-1 CX(s) Applied: B4.13 Date: 04/15/2012 Location(s): Idaho Offices(s): Nuclear Energy
CX-002194: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
CX-002194: Categorical Exclusion Determination Install Demonstration Wind Turbine at Weldon Spring, Missouri, Site CX(s) Applied: B5.1 Date: 04282010 Location(s):...
CX-012812: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Chemawa-Salem #1 & #2 Access Road Maintenance CX(s) Applied: B1.3Date: 41893 Location(s): OregonOffices(s): Bonneville Power Administration
CX-012469: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Gas Analysis Services CX(s) Applied: B3.6Date: 41876 Location(s): OregonOffices(s): National Energy Technology Laboratory
CX-010656: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Stormwater Drainage Repair CX(s) Applied: B1.3 Date: 06/18/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office
CX-011995: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Exclusion Determination CX-011995: Categorical Exclusion Determination Hat Rock Tap Switching Station Equipment Transfer CX(s) Applied: B1.24 Date: 04102014 Location(s):...
CX-005991: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
CX-005991: Categorical Exclusion Determination Prairie Village, Kansas Ground Source Heat Pump Relocation CX(s) Applied: B5.1 Date: 05252011 Location(s): Prairie Village,...
CX-012118: Categorical Exclusion Determination
Office of Energy Efficiency and Renewable Energy (EERE)
Hydro Research Foundation University Research Awards - Tufts CX(s) Applied: A9 Date: 05/21/2014 Location(s): Georgia Offices(s): Golden Field Office
CX-010437: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Rocky Ridge Radio Station Upgrade CX(s) Applied: B1.19 Date: 05/31/2013 Location(s): Montana Offices(s): Bonneville Power Administration
CX-011239: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Security Upgrades at Multiple Substations CX(s) Applied: ? Date: 10/02/2013 Location(s): Oregon, Washington Offices(s): Bonneville Power Administration
CX-012474: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Refractories/Ceramics Project CX(s) Applied: B3.6Date: 41870 Location(s): OregonOffices(s): National Energy Technology Laboratory
CX-007418: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Sidewalks to School CX(s) Applied: B1.13 Date: 12/13/2011 Location(s): South Carolina Offices(s): Golden Field Office
CX-006211: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Exclusion Determination Missouri Independent Energy Efficiency Program: Henniges Automotive - Process Air Compressor Upgrades CX(s) Applied: B5.1 Date: 07182011 Location(s):...
CX-009423: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Relay and Switchboard Panel Replacements CX(s) Applied: B4.6 Date: 10/29/2012 Location(s): Arkansas Offices(s): Southwestern Power Administration
CX-012310: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Sawmill Creek Stream Bank Erosion CX(s) Applied: B1.3 Date: 06/06/2014 Location(s): Illinois Offices(s): Argonne Site Office
CX-009132: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Landfill Gas Utilization Plant CX(s) Applied: B5.21 Date: 08/02/2012 Location(s): New York Offices(s): Golden Field Office
CX-012566: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Z-Area Fire Tank Painting CX(s) Applied: B1.3Date: 41865 Location(s): South CarolinaOffices(s): Savannah River Operations Office
CX-007893: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
SunShot Massachusetts CX(s) Applied: A9, A11 Date: 02/10/2012 Location(s): Massachusetts Offices(s): Golden Field Office
CX-012463: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Reliable SOFC Systems CX(s) Applied: A9, B3.6Date: 41877 Location(s): ConnecticutOffices(s): National Energy Technology Laboratory
CX-011626: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Line Yard Fence Project CX(s) Applied: B1.11 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office
CX-010869: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Nauticas Research Program CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): Illinois Offices(s): Argonne Site Office
CX-007407: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Advanced Floating Turbine CX(s) Applied: A9 Date: 12/07/2011 Location(s): Ohio Offices(s): Golden Field Office
CX-010768: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
ZIRCEX Nuclear Fuel Dissolution Testing CX(s) Applied: B3.6 Date: 08/12/2013 Location(s): Idaho Offices(s): Nuclear Energy
CX-012810: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
St. Johns-Keeler Minor Access Road Improvement CX(s) Applied: B1.3Date: 41901 Location(s): OregonOffices(s): Bonneville Power Administration
CX-009513: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Aquatic Invasive Mussels Monitoring CX(s) Applied: B3.1 Date: 10/15/2012 Location(s): CX: none Offices(s): Bonneville Power Administration
CX-012658: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Chief Joseph and Custer Substations Security Fence Replacement CX(s) Applied: B1.11Date: 41843 Location(s): WashingtonOffices(s): Bonneville Power Administration
CX-007549: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Harrisonville - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office
CX-007550: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Kearney - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office
CX-007417: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Shift CX(s) Applied: B5.1 Date: 12/21/2011 Location(s): Pennsylvania Offices(s): Golden Field Office
CX-010532: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Various Demolition Jobs CX(s) Applied: B1.23 Date: 06/07/2013 Location(s): Illinois Offices(s): Fermi Site Office
CX-012796: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Big Eddy-Redmond #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41919 Location(s): OregonOffices(s): Bonneville Power Administration
CX-012818: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
La Pine-Chiloquin Wood Pole Replacements CX(s) Applied: B1.3Date: 41887 Location(s): OregonOffices(s): Bonneville Power Administration
CX-012813: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Redmond-Pilot Butte #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41893 Location(s): OregonOffices(s): Bonneville Power Administration
CX-012799: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Malin-Hilltop Wood Pole Replacements CX(s) Applied: B1.3Date: 41915 Location(s): CaliforniaOffices(s): Bonneville Power Administration
CX-012805: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Brasada-Harney #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41908 Location(s): OregonOffices(s): Bonneville Power Administration
CX-012798: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Davis Creek Tap Wood Pole Replacements CX(s) Applied: B1.3Date: 41915 Location(s): CaliforniaOffices(s): Bonneville Power Administration
CX-009166: Categorical Exclusion Determination | Department of...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Integration of Waste Heat Recovery, Waste-to-Energy Conversion, and Waste-to-Chemical Conversion with Industrial Gas and Chemical Manufacturing Processes CX(s) Applied:...
CX-011534: Categorical Exclusion Determination
Broader source: Energy.gov [DOE]
Grays River Confluence Property Funding CX(s) Applied: B1.25 Date: 11/08/2013 Location(s): Washington Offices(s): Bonneville Power Administration
Role of Design Standards in Wind Plant Optimization (Presentation)
Veers, P.; Churchfield, M.; Lee, S.; Moon, J.; Larsen, G.
2013-10-01
When a turbine is optimized, it is done within the design constraints established by the objective criteria in the international design standards used to certify a design. Since these criteria are multifaceted, it is a challenging task to conduct the optimization, but it can be done. The optimization is facilitated by the fact that a standard turbine model is subjected to standard inflow conditions that are well characterized in the standard. Examples of applying these conditions to rotor optimization are examined. In other cases, an innovation may provide substantial improvement in one area, but be challenged to impact all of the myriad design load cases. When a turbine is placed in a wind plant, the challenge is magnified. Typical design practice optimizes the turbine for stand-alone operation, and then runs a check on the actual site conditions, including wakes from all nearby turbines. Thus, each turbine in a plant has unique inflow conditions. The possibility of creating objective and consistent inflow conditions for turbines within a plant, for used in optimization of the turbine and the plant, are examined with examples taken from LES simulation.
Vasudevamurthy, Gokul
2004-09-30
and compatibility of different available software used in three dimensional reconstruction and high level programming. After a detailed analysis, MATLAB and RHINO CAD20 (Rhino 3.0) based on the NURBS methodology were selected to solve the TSP-SA and NURBS three...-dimensional Reconstruction. A free evaluation copy of the RHINO CAD was used to demonstrate the capability of the technique. Advanced features of the NURBS RHINO CAD?s? surface modeling tools like the rail revolve, match, and other advanced commands were studied and were...
Hauswirth, Matthias
poor coverage of infrequently executed code, where bugs often lurk. We describe an adaptive profiling to their execution frequency. To validate our ideas, we have implemented SWAT, a novel memory leak detection tool. SWAT traces program allocations/ frees to construct a heap model and uses our adaptive profiling
Morales, Adrian
2011-02-22
= Capital Expenditures EOS = Equations of State GA = Genetic Algorithm HGA = Hybrid Genetic Algorithm ? = Mean of Original Population ? o = Mean of Standard Normal Distribution Population MiniVar = Minimal Variance Modification MMSCF = Million.... ............................................................................................................. 30 Figure 2.14 Comparison of the Conventional Probability and MiniVar Method with a Small Standard Deviation. Fitness Values are 100 for Individual #1, 95 for Individual #2, 102 for Individual #3, 98 for Individual #4 and 99 for Individual #5...
Creative Design in Optimization Metaheuristics Applied to Multi-modal Continuous Functions
, NelderÂMead simpleks, Myre Koloni, Genetiske Algoritmer, Evolutions- Strategi, Memetiske Algoritmer og Itereret LokalsÃ¸gning er inkluderet i beskri- velsen. Den Memetiske Algoritme vÃ¦lges til implementering bruges til at frembringe den endelige algoritme. PÂ°a den mÂ°ade bliver metaheuristikkens sÃ¸gning guidet
Dantzig-Wolfe decomposition for real-time optimization -applied to the Troll west oil
Foss, Bjarne A.
Gunnerud Bjarne Foss Bjørn Nygreen Randi Vestbø Nina C. Walberg Department of Engineering Cybernetics, NTNU, Trondheim Norway Department of Industrial Economics and Technology Management, NTNU, Trondheim are made on field development such as the choice of technology and export options, and investment and recov
From Basic Control to Optimized Systems-Applying Digital Control Systems to Steam Boilers
Hockenbury, W. D.
1982-01-01
less sensitive). Also digital filtering (available in many modern controllers) can be used in the level controller to lessen the effects of lead changes on drum level. Adding Computer Power Combining the combustion and feedwater controls just... modern controllers) to serve as the low fuel limit. Tilis will allow stable firing at very low rates. The high signal selector (HS in Fig. 3) determines the air flow low limit. Fig. 2: Instrument diagram of basic control loops. sl.,m S1eam [),n drum...
Applying the Battery Ownership Model in Pursuit of Optimal Battery Use
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels Research at 1Comments|L.L.C.Whole-House Solutions for
Optimization Online Digest -- January 2009
Applications — Science and Engineering On the Optimal On-Line Management of Photovoltaic-Hydrogen Hybrid Energy Systems Victor Zavala, Mihai Anitescu, ...
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The Optimization Online Team appreciates your comments and suggestions! Your Name: Your Email: Your Comments: Spam Blocker: What is 4+5? (Answer in ...
Optimization Online Digest -- June 2015
Optimization Online Digest — June 2015. Applications — OR and Management Sciences A data-driven, distribution-free, multivariate approach to the ...
Optimization Online Digest -- February 2014
Optimization Online Digest — February 2014. Applications — OR and Management Sciences Minimum Cost Path Problem for Plug-in Hybrid Electric Vehicles
Decomposition methods for semidefinite optimization
Sun, Yifan
2015-01-01
Convex optimization for big data: Scalable, randomized, andparallel algorithms for big data ana- lytics. ” SignalThe real story of how big data analytics helped Obama win. ”
Optimization Online Digest -- July 2013
Optimization of Demand Response Through Peak Shaving G. Zakeri, D. Craigie, A. Philpott, M. Todd A practicable framework for distributionally robust linear ...
OPTIMAL OPERATION OF INTEGRATED PROCESSES
Skogestad, Sigurd
OPTIMAL OPERATION OF INTEGRATED PROCESSES Studies on Heat Recovery Systems by Bjørn Glemmestad exchanger network (HEN) for heat recovery. Within the process engineering community, much attention has been
Optimization Online Digest -- August 2004
Theodore Lambert, Marina Epelman, Robert L. Smith A fictitious play approach to large-scale optimization. Theodore Lambert, Marina A. Epelman, Robert L.
Academic Plan Faculty of Applied Science & Engineering
Toronto, University of
Academic Plan Faculty of Applied Science & Engineering University of Toronto 2011 to 2016 Approved by Faculty Council October 6, 2011 #12;Faculty of Applied Science & Engineering Academic Plan Table ........................................................................................... 13 Chapter 4: Educating Future Engineers
Dynamic Optimization for Optimal Control of Water Distribution Systems
Ertin, Emre
Dynamic Optimization for Optimal Control of Water Distribution Systems Emre Ertin, Anthony N. Dean Columbus OH 43201 ABSTRACT In this paper we consider the design of intelligent control policies for water as a controller for a water distribution system. In the example presented we obtain a 12.5 percent reduction